What Jobs are available for AI & Emerging Technologies in Singapore?
Showing 47 AI & Emerging Technologies jobs in Singapore
Associate AI Developer/ AI Developer (Full stack) - Artificial Intelligence, SAP Labs Singapore
Posted 10 days ago
Job Viewed
Job Description
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.
***SAP will be prioritizing candidates with full working rights in Singapore***
About SAP
A market leader in end-to-end business application software, SAP helps more than 425,000 customers worldwide work together more efficiently. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift societies, and sustain our environment. Because it's the best-run businesses that make the world run better and improve people's lives. At SAP, we build breakthroughs, together.
**What you'll buil**
Purpose and objectives
As an Associate AI Developer / AI Developer, you will work together with a team of dedicated experts including AI scientists, data engineers, dev-ops engineers, and architects with a single goal of building the best-in-class AI products. You will work against fixed timelines and your success will be measured by the ability to deliver solutions matching the performance of top-notch artificial intelligence systems.
Applicants with relevant experience may be considered for AI Developer role.
Your tasks include:
+ Push the frontiers of what is possible in artificial intelligence to create new solutions.
+ Explore, understand, and implement most recent technologies and approaches for cloud applications and data pipelines.
+ Comfortably handle multi-terabyte data sets in scale-up and scale-out environments
+ Strive for automation and cloud operation readiness.
+ Understand business processes which create and consume data to be able to select best approaches, evaluate their performance and assess business relevance.
+ Supports machine learning research/project teams with all aspects around data.
+ Builds scalable and re-usable data processing pipelines.
+ Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation.
+ Work closely with the team, customers, and partners to holistically understand business and user requirements and derive adequate application development concepts.
+ Performing quality assurance tasks and solving complex integration issues.
+ Ability to work in global teams with different time zones.
+ Immerse yourself quickly into new topics, terminology, and development tasks.
**What you bring:**
**Required**
+ Degree in Computer Science or related field
+ 0 to 3 years of working experience as software developer, preferrable in AI focused cloud application development.
+ A solid foundation in computer science, with strong competencies in algorithms, data structures, objects-oriented programming, design patterns, multi-threaded programming, and software design principles
+ Hands-on knowledge in at least two of the server/ client-side programming languages such as Java, Scala, Go, Python, node.js, C
+ Exposure to Big Data technologies such as Hadoop, Spark and Kafka
+ Hands-on knowledge of the frameworks such as Spring, Play, AngularJS, Flask etc.
+ Fundamental knowledge of container & orchestration technologies like docker, Kubernetes etc.
+ Experience with cloud-based application development using platforms such as SAP's business technology platform, AWS, Azure & Google Cloud Platform is a plus.
+ Familiar with Agile/Scrum methodologies
+ Strong desire to overcome obstacles and make your work benefit SAP's customers.
+ Excellent written and communication skills in English language.
**Optional**
+ Hands-on experience in Shell Scripting, PowerShell
+ Excellent web UI programming skills (JavaScript, HTML5, CSS)
+ Experience with JavaScript frameworks (e.g., D3.js, jQuery, RequireJS, KnockoutJS, AngularJS, NodeJS etc.)
+ Knowledge of UI Design Patterns and Interactions
+ Operational knowledge of Linux distributions such as Redhat, Ubuntu, CentOS, CoreOS
+ Exposure to deployment and container orchestration technologies such as Docker, Kubernetes, Puppet, Chef, Ansible
+ Knowledge of Machine Learning fundamentals
**Where you belong:**
SAP Labs Singapore is the 20th engineering hub in the SAP Labs Network and is the newest innovation hub at SAP that drives product leadership, fosters the best talent, and aims to boost ecosystem and community engagement with a variety of initiatives.
SAP Labs Singapore has the ambition to expand significantly and become the Embedded Artificial Hub for SAP, leveraging on core competencies in the current teams. It provides an open, modern working environment and the opportunity to become part of the global SAP engineering community.
Artificial Intelligence team as part of SAP Labs Singapore has experienced professionals taking on challenges posed by the SAP customers. Based in Singapore, you will have the opportunity to work on breakthrough projects addressing real-world problems, challenging norms with some of the SAP's key customers. As part of the global product engineering team, you will participate in rich and engaging conversations with experts around the globe.
Job Segment: Developer, Cloud Applications, Cloud Operations, Machine Learning, Artificial Intelligence, Data science development
**Bring out your best**
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
**We win with inclusion**
SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy ( . Specific conditions may apply for roles in Vocational Training.
**EOE AA M/F/Vet/Disability:**
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.
Requisition ID: | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid #SAPNextGen
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AI Research
Posted today
Job Viewed
Job Description
Company
Cynapse Pte Ltd
Designation
AI Research & Development Intern
Date Listed
31 Aug 2025
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
From Jan 2026, For At Least 6 Months
Profession
IT / Information Technology
Industry
Artificial Intelligence / Smart Automation
Location Name
71 Ayer Rajah Crescent, #04 21, SingaporeSingapore , Singapore
Address
71 Ayer Rajah Crescent, #04 21, Singapore
Map
Allowance / Remuneration
$1,100 - 1,500 monthly
Company Profile
About Cynapse
Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.
Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.
Job Description
Job Description
We are seeking a talented and highly motivated AI Research & Development Intern to join our AI Product group that delivers innovative Computer Vision solutions to global customers.
You will conform to high standards and work in a cutting-edge, dynamic, and professionally challenging environment.
As part of your role, you will:
- Implement practical solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) methods, and Computer Vision (CV) models to solve real-world challenges.
- Conduct rigorous experiments to validate model performance, including data preparation, evaluation, and benchmarking, ensuring reliability and accuracy.
- Develop prototypes and proof-of-concept systems to test innovative ideas and demonstrate their feasibility and value.
Minimum Qualifications:
- Bachelor's degree (completed or in progress) in Computer Science, Engineering, Mathematics, or a related technical field.
- Familiarity with machine learning concepts, including deep learning techniques.
- Strong programming skills, with a solid understanding of databases such as MongoDB or Neo4j.
- Excellent analytical, problem-solving, logical reasoning, communication, and teamwork skills.
Duration:
- Available for at least a 6-month internship.
- Able to work at least 4 days a week (Preferably full-time / 5 days a week).
- We are flexible with start and end dates and allow flexibility to accommodate exams, leave etc.
Why join
- Hands-on experience working on cutting-edge AI projects.
- Mentorship from experienced engineers and researchers.
- Opportunity to build impactful solutions and contribute to meaningful projects.
- Exciting work environment with flexible hours
Note: Due to the nature of the role, the position is considered for candidates who are based in Singapore or have experience studying and/or working in Singapore.
Application Instructions
Submit your text CV and answer the following questions via InternSG:
- Are you currently residing in Singapore?
- Are you legally authorized to work in Singapore?
- Will you now, or in the future, require sponsorship for employment visa status?
Kindly note that only shortlisted candidates will be notified.
Apply for this position
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Sales - AI Data Scientist
Posted today
Job Viewed
Job Description
Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers. Apple's Decision Intelligence (DI) team is looking for a versatile individual who is passionate about crafting, implementing, and operating analytical solutions that have a direct and measurable impact on Apple Sales and its customers.
Description
As a DI Data Scientist, you will employ predictive modeling, data visualization, and statistical analysis techniques to build end-to-end solutions for internal collaborators, using sales performance data, market data, programs, external data, etc. This role will operate in both capacities, to augment existing data solutions, as well as innovate and inventing data science projects, crafting analytic experiences that simplify data into insights and catalyze decision-making. Analytics is a team sport, and in your role, you will be key in leading and influencing teams on the translation of business problems and questions into data science models.
Responsibilities
- In this role, you will:
- Be a core technical contributor building models and intelligence layers that power our AI agents, insights engines, and GenAI-enhanced platforms. You'll develop robust ML pipelines, design evaluators for LLM responses, and embed decision-making intelligence into sales-facing tools. Your work will drive prescriptive analytics, root cause analysis, and agent behavior tuning. You will do all this by:
- Developing and productionizing ML models (e.g., forecasting, anomaly detection, attribution, causal inference) used by our AI agents and insights platforms
- Building RCA and recommendation engines that enhance summarization and chatbot capabilities.
- Analyzing agent interactions and implementing LLM evaluation pipelines to measure factual accuracy, latency, and user satisfaction.
- Supporting experimentation and A/B testing for new insight types and interaction methods.
- Partnering with AI engineers and PMs to scale features across regions and tools.
- Act as a data translator, bridging the gap in expertise between technical teams, made up of data analysts, data engineers, software developers, and business stakeholders. Successfully bridging analytics and business, with the ability to speak the language of both.
- Influence upstream data model design, drive benchmark definitions, and develop your own data solutions as needed.
- Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide visibility on progress.
- Build and support dashboards and self-service tools (using several platforms) to analyze and present internal and external data.
- Leverage available AI/ML models across the company and translate those for region-specific needs.
Minimum Qualifications
- We're looking for someone with an eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
- Familiarity with vector similarity search, RAG architectures, and LLM prompt evaluation.
- Experience co-developing with software engineers in production environments.
- Ability to lead development projects from start to finish.
- Comfort with ambiguity. Ability to structure complex analysis through data analysis and strategy research.
- Collaborate closely with business teams to deep dive into business performance and improve reporting dashboards on key operational metrics.
- 4+ years of experience in a Data Visualization, Data Science, Data Analysis, or Data Translation role, with a keen eye for design and attention to detail.
- Applied knowledge of statistical data analysis, predictive modeling classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis.
- Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop, Spark, or Snowflake.
- Expertise with data visualization tools (such as Tableau, d3, plotly, etc.) for data analysis and presentation. Experience with Tableau Server, TabPy, and Extensions is a plus.
- Proficiency in programming languages, tools, and frameworks like Python, Git, Notebooks, Dataiku, and Streamlit.
- Knowledge of project management and productivity tools such as Wrike, Sketch.
- Strong time management skills with the ability to collaborate across multiple teams.
- Knowledge of best practices in data analysis, data visualization, and data science.
- Able to balance competing priorities, long-term projects, and ad hoc requirements.
- Ability to work in a fast-paced, dynamic, constantly evolving business environment.
- Bachelors's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field.
Preferred Qualifications
- Experience with observability tools for LLMs (e.g., LangSmith, Truera, Weights & Biases)
- Proven experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.)
- Strong experience articulating and translating business questions into data solutions.
- Communicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences.
- Experience with anomaly detection and causal inference models.
- Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. Strong ability to gain trust with stakeholders and senior leadership.
- Familiarity with embedding, retrieval algorithms, agents, and data modeling for vector development graphs.
- Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field.
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AI Senior Developer
Posted today
Job Viewed
Job Description
MINDEF
Contract
Closing in 2 day(s)
What the role is
You lead a team of Artificial Intelligence (AI) developers to build prioritised AI products.
What you will be working on
- Lead and manage AI developers in product teams
- Provide on-site support to respective entities when required
- Maintain relationships with internal and external partners for AI collaboration
- Stay up-to-date with latest developments in AI and Machine Learning (ML) technology
- Identify, initiate, and promulgate worthwhile engineering projects across the SAF
- Ensure beneficial deployment of AI/ML tools within the Singapore Armed Forces (SAF)
Challenge(s) - Maintaining in-depth understanding of AI/ML and languages like Python
- ing experience with complex data structures and algorithms
- Staying acquainted with rapidly evolving AI/ML technologies
- Ensuring deep understanding of AI/ML application and impact in military contexts
What we are looking for
- Education in quantitative, scientific and technology fields such as Mathematics, Statistics, Computer Science, Data Science and Analytics
- At least 8 years of relevant working experience
- Deep understanding of AI/ML (supervised and unsupervised learning, neural networks, deep learning)
- Hands-on experience with current AI tools like TensorFlow and PyTorch
- Strong leadership, planning and communication skills
- Ability to multi-task and work under stressful environments
Only shortlisted candidates will be notified.
About MINDEF
The mission of MINDEF and the Singapore Armed Forces is to enhance Singapore's peace and security through deterrence and diplomacy, and should these fail, to secure a swift and decisive victory over the aggressor.
The Defence Executive Officer (DXO) scheme is the non-uniformed career scheme of MINDEF that offers myriad opportunities in various job functions, such as corporate communications, cyber security, data analytics and visualisation, defence policy, finance, HR, psychology, and more. Embodying the same level of commitment towards defence, DXOs work together with their military counterparts to contribute to MINDEF/SAF's mission and ensure Singapore's security and stability. United by this common cause, our lines of defence complement each other to secure the prosperity and progress of our nation.
About your application process
This job is closing in 2 day(s).
If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within MINDEF or the wider Public Service.
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Sr. AI/ML Specialist Solutions Architect
Posted 13 days ago
Job Viewed
Job Description
Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI and Agentic AI? Are you excited by the challenge of driving production usage of ML and AI at scale? Come join us!
ML and AI, especially Generative AI and Agentic AI, are rapidly growing in importance. We're witnessing the revolutionary impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is transforming every industry. Given the massive computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal place to deploy AI models, and Amazon Web Services (AWS) is the leader in the deployment of AI. We're looking for someone passionate and deeply excited about this space. Someone who is devoted to helping customers understand how AI can make a big difference to their businesses.
As an AI/ML Specialist Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing scalable, secure, and cost-effective AI/ML, Generative AI and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Your expertise will be crucial in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while implementing robust governance frameworks and secure AI pipelines that scale efficiently.
Part of the Data and AI Specialist Solutions Architecture team, you will guide customers through their AI transformation journey, working closely with other Specialist SAs in Big Data, Databases and Analytics, Storage, Containers, Accelerated Compute and Business Development teams. You'll help customers establish scalable MLOps practices and create sustainable, enterprise-grade AI architectures that deliver measurable business value. Your role includes developing technical content, reference implementations, and presentations to enable customers, partners, and ISVs to fully leverage AI/ML and Generative AI on AWS. Additionally, you will create field enablement materials to help the broader SA population understand and integrate AWS AI/ML and Generative AI solutions into customer architectures.
You must have deep technical experience across the AI spectrum - from traditional ML and deep learning to Generative AI and Agentic AI - backed by a strong mathematics and statistics foundation. This includes hands-on experience with large language models (LLMs), foundation models, and autonomous agent frameworks, alongside expertise in implementing RAG systems, designing prompt engineering frameworks, and developing multi-agent systems. You should be proficient with both commercial and open-source technologies, including popular frameworks like LangChain, Hugging Face, and PyTorch, as well as vector databases and embedding models. Your comprehensive understanding of the AI/ML ecosystem, including leading vendors, emerging startups, and key open-source projects, will be crucial in helping AWS customers create robust ML pipelines, establish effective MLOps practices, and build future-proof AI architectures.
Candidates must have great communication skills and be very technical, with the ability to engage AWS customers at any level, from executives to developers. Previous experience with AWS is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers, partners and AWS service teams, influencing their roadmaps and driving innovation.
If you are someone who enjoys innovating, likes solving hard problems and working on the latest and greatest technology, we would love to have you on the team.
AWS Global Services
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
#aws-ags-asean
Key job responsibilities
- Build and maintain technical trusted advisor relationships with influential technical decision-makers to drive successful adoption and deployment of AWS services, with particular focus on enterprise-grade AI/ML architectures, Generative AI solutions, and autonomous agent systems.
- Architect scalable, secure, and cost-effective solutions leveraging AWS's comprehensive AI stack, from traditional ML services to leading Generative AI offerings. Work closely with customers to understand their business needs and design solutions that optimize both performance and cost while ensuring robust governance and responsible AI practices.
- Serve as a thought leader in the AI/ML space by developing compelling technical content and practical implementations showcasing modern AI architectures. Create reference architectures, workshops, and demos that highlight integration patterns for LLMs, RAG systems, autonomous agents, and MLOps best practices. Share insights through AWS Blogs, public speaking events, and technical communities.
- Build and nurture an internal AWS community of AI/ML experts, focusing on knowledge-sharing across traditional ML, Generative AI, and Agentic AI domains. Establish best practices for emerging technologies and create enablement materials for the broader AWS technical community.
- Collaborate across AWS teams to accelerate customer success with AI/ML implementations. Work with business development, professional services, and support teams to ensure effective adoption of AWS AI services, from proof-of-concept to production deployment.
- Drive technical excellence as a key member of the Data and AI Specialist team. Act as a technical liaison between customers and AWS engineering teams, ensuring successful implementation of AI solutions while maintaining alignment with AWS's well-architected framework and AI best practices.
This role can be located in either Singapore, Indonesia, Malaysia, Philippines, Thailand or Vietnam
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- 10+ years of combined experience in AI/ML and related technologies, with deep expertise in traditional machine learning and deep learning. Must have experience building production-grade AI systems, complemented by practical knowledge of modern Generative AI technologies (LLMs, foundation models, RAG systems) and autonomous agent frameworks. Strong background in AI architecture patterns and MLOps practices, with demonstrated ability to design and deploy enterprise-grade AI solutions at scale.
Preferred Qualifications
- Experience in a technical role within a sales organization
- Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering)
- Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field, with research or practical experience in emerging AI technologies. Published work or significant contributions to AI/ML open-source projects, particularly in Generative AI or autonomous systems, would be highly valued.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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Sr. AI/ML Specialist Solutions Architect
Posted 13 days ago
Job Viewed
Job Description
Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI and Agentic AI? Are you excited by the challenge of driving production usage of ML and AI at scale? Come join us!
ML and AI, especially Generative AI and Agentic AI, are rapidly growing in importance. We're witnessing the revolutionary impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is transforming every industry. Given the massive computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal place to deploy AI models, and Amazon Web Services (AWS) is the leader in the deployment of AI. We're looking for someone passionate and deeply excited about this space. Someone who is devoted to helping customers understand how AI can make a big difference to their businesses.
As an AI/ML Specialist Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing scalable, secure, and cost-effective AI/ML, Generative AI and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Your expertise will be crucial in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while implementing robust governance frameworks and secure AI pipelines that scale efficiently.
Part of the Data and AI Specialist Solutions Architecture team, you will guide customers through their AI transformation journey, working closely with other Specialist SAs in Big Data, Databases and Analytics, Storage, Containers, Accelerated Compute and Business Development teams. You'll help customers establish scalable MLOps practices and create sustainable, enterprise-grade AI architectures that deliver measurable business value. Your role includes developing technical content, reference implementations, and presentations to enable customers, partners, and ISVs to fully leverage AI/ML and Generative AI on AWS. Additionally, you will create field enablement materials to help the broader SA population understand and integrate AWS AI/ML and Generative AI solutions into customer architectures.
You must have deep technical experience across the AI spectrum - from traditional ML and deep learning to Generative AI and Agentic AI - backed by a strong mathematics and statistics foundation. This includes hands-on experience with large language models (LLMs), foundation models, and autonomous agent frameworks, alongside expertise in implementing RAG systems, designing prompt engineering frameworks, and developing multi-agent systems. You should be proficient with both commercial and open-source technologies, including popular frameworks like LangChain, Hugging Face, and PyTorch, as well as vector databases and embedding models. Your comprehensive understanding of the AI/ML ecosystem, including leading vendors, emerging startups, and key open-source projects, will be crucial in helping AWS customers create robust ML pipelines, establish effective MLOps practices, and build future-proof AI architectures.
Candidates must have great communication skills and be very technical, with the ability to engage AWS customers at any level, from executives to developers. Previous experience with AWS is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers, partners and AWS service teams, influencing their roadmaps and driving innovation.
If you are someone who enjoys innovating, likes solving hard problems and working on the latest and greatest technology, we would love to have you on the team.
AWS Global Services
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
#aws-ags-asean
Key job responsibilities
- Build and maintain technical trusted advisor relationships with influential technical decision-makers to drive successful adoption and deployment of AWS services, with particular focus on enterprise-grade AI/ML architectures, Generative AI solutions, and autonomous agent systems.
- Architect scalable, secure, and cost-effective solutions leveraging AWS's comprehensive AI stack, from traditional ML services to leading Generative AI offerings. Work closely with customers to understand their business needs and design solutions that optimize both performance and cost while ensuring robust governance and responsible AI practices.
- Serve as a thought leader in the AI/ML space by developing compelling technical content and practical implementations showcasing modern AI architectures. Create reference architectures, workshops, and demos that highlight integration patterns for LLMs, RAG systems, autonomous agents, and MLOps best practices. Share insights through AWS Blogs, public speaking events, and technical communities.
- Build and nurture an internal AWS community of AI/ML experts, focusing on knowledge-sharing across traditional ML, Generative AI, and Agentic AI domains. Establish best practices for emerging technologies and create enablement materials for the broader AWS technical community.
- Collaborate across AWS teams to accelerate customer success with AI/ML implementations. Work with business development, professional services, and support teams to ensure effective adoption of AWS AI services, from proof-of-concept to production deployment.
- Drive technical excellence as a key member of the Data and AI Specialist team. Act as a technical liaison between customers and AWS engineering teams, ensuring successful implementation of AI solutions while maintaining alignment with AWS's well-architected framework and AI best practices.
This role can be located in either Singapore, Indonesia, Malaysia, Philippines, Thailand or Vietnam
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- 10+ years of combined experience in AI/ML and related technologies, with deep expertise in traditional machine learning and deep learning. Must have experience building production-grade AI systems, complemented by practical knowledge of modern Generative AI technologies (LLMs, foundation models, RAG systems) and autonomous agent frameworks. Strong background in AI architecture patterns and MLOps practices, with demonstrated ability to design and deploy enterprise-grade AI solutions at scale.
Preferred Qualifications
- Experience in a technical role within a sales organization
- Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering)
- Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field, with research or practical experience in emerging AI technologies. Published work or significant contributions to AI/ML open-source projects, particularly in Generative AI or autonomous systems, would be highly valued.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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AI Sales Specialist, ASEAN, AWS Data Specialists
Posted 13 days ago
Job Viewed
Job Description
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
As an AI Sales Specialist you will be at the forefront of AI adoption in ASEAN, shaping how strategic customers adopt this disruptive technology over the long term. Candidates should have experience building solutions for customers across a spectrum of Data & AI technologies including Data Management, AI Platform, GPU and AI Applications including an L200 knowledge of the AWS technologies and open-source frameworks in this space. The ideal candidate will be a self-starter who is able to take a consultative approach to lead customers in Financial Services, Manufacturing or Retail Customers through AI-Driven Transformations.
Key job responsibilities
- Own the AI revenue target as part of the AI Team.
- Deliver business outcomes for strategic customers by engaging business and technology teams.
- Define and execute sales strategies through cross-functional teams (Partner, Solutions Architecture, Professional Services, Prototyping etc).
- Run localized enablement sessions, curated sales assets, leveraging customer propensity signals.
- Build and maintain executive relationships with customers as the AI subject matter expert, influence long-term strategic direction, and act as a trusted advisor.
- Provide leadership and guidance to sales teams, as a subject matter expert.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve
Basic Qualifications
- 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience
- 10+ years of business development, partner development, sales or alliances management experience
Preferred Qualifications
- 5+ years of building profitable partner ecosystems experience
- Experience developing detailed go to market plans
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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Head (Product Management), AI Products
Posted today
Job Viewed
Job Description
Home Team Science and Technology Agency (HTX)
Permanent/Contract
Closing on 19 Sep 2025
What the role is
The Home Team Science and Technology Agency (HTX) is a statutory board under the Ministry of Home Affairs (MHA) which aims to pioneer innovation solutions and develop world class science and technology capabilities to transform and empower the Home Team in delivering safety and security for Singapore.
The HTxAI Products team is committed to empower our Home Team Department (HTD)'s flagship projects through the seamless integration of AI technologies. From identifying opportunities to delivery, launch, and continuous enhancement, HTxAI aims to push boundaries and setting new standards in homeland security.
The Head, Product Management will lead the product management team in identifying opportunities, developing, managing an array of AI and Digital products in the homeland security space while aligning with HTX's strategic direction, reporting, and monitoring of AI initiatives that ensure public safety and security by supporting Home Team Department operations. The successful candidate will work closely with internal and external stakeholders to guide the products through their entire lifecycle, from ideation to launch, and ensure ongoing improvements. In addition, the Head, Product Management will play a crucial role in fostering a product-focused development culture within the HTX.
What you will be working on
As the Head, Product Management, you will be required to:
• Lead product team (s) to develop, update, and prioritize long-term product roadmaps on a regular basis by partnering with stakeholders and users.
• Prioritise the delivery of products and product features and define launch parameters such as minimal viable product, versioning, releases, and go-to-market communication.
• Collaborate with Solution & Design team to identify and validate problem statements that help agile teams conceptualise or innovate new AI and digital solutions or evolve current AI and digital product features.
• Engage cross functional stakeholders by communicating value propositions that deliver digital solutions which optimise resources and reduce time-to-market and cost.
• Evaluate and execute commercial opportunities to co-develop solutions or integrating commercially available products to realise product goals.
• Recommend and manage appropriate methodologies for user discovery and validation, agile development and testing, and reporting of results on a regular and consistent basis.
• Manage cross-functional agile teams that comprise solution and design, engineering, and engagement teams while ensuring alignment on product requirements, feature prioritization and development, and delivery.
• Manage team's resources and work performance and to match individual aspiration with stakeholders' requirements.
What we are looking for
• Postgraduate / Tertiary qualification in information systems, computer science, business, or social sciences.
• Min. 5 to 8 years in digital product management or similar role, with experience leading a team of product managers.
• Demonstrated success in defining, launching, and scaling a product.
• Knowledge of agile development processes and product methodologies such as lean and design thinking.
• Technical understanding of digital trends and technologies that include the harnessing of emerging technologies.
• Good to have experience in AI-related technologies, AI/ML, Data Science and Data Analytics.
• Excellent written and verbal communication skills, with the ability to articulate product vision and strategy to internal and external stakeholders.
• Strong analytical and prioritization skills.
• Ability to deal with uncertainty and adapt to changes, with the ability to pivot product strategy as customer needs or business strategy evolve.
• Emphatic to user-centric requirements and product usability.
• A deep passion for product development and motivated to build great products that bring value to users.
• Data-driven in decision making, using data and insights to inform product strategy and priorities features
• Supportive and empowering leadership style, with a focus on helping the team to develop, grow and deliver good results.
• Strong collaborative skills, with the ability to work effectively with cross-functional teams and stakeholders to bring a product from ideation to delivery.
All new hires are appointed on a two-year contract in the first instance and will be assessed and considered for permanent tenure over time, based on performance.
As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment. All applicants will be updated on the status of their applications within 4 weeks upon closing of the advertisement.
About Home Team Science and Technology Agency (HTX)
HTX is the world's first Science and Technology agency that integrates a diverse range of scientific and engineering capabilities to innovate and deliver transformative and operationally-ready solutions for homeland security. As a statutory board of the Ministry of Home Affairs and integral to the Home Team, HTX works at the forefront of science and technology to empower Singapore's frontline of security. Our shared mission is to amplify, augment and accelerate the Home Team's advantage and secure Singapore as the safest place on planet earth.
About your application process
This job is closing on 19 Sep 2025.
If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Home Team Science and Technology Agency (HTX) or the wider Public Service.
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Applied Scientist, Generative AI Innovation Center
Posted 13 days ago
Job Viewed
Job Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
As an Applied Scientist, you will
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
- Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
- Provide customer and market feedback to product and engineering teams to help define product direction
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, or Master's degree plus 5 years of relevant work experience
- 5+ years of hands on experience with Python to build, train, and evaluate models
- 2+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing
- Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies
- Scientific publication track record at top-tier AI/ML/NLP conferences or journals
Preferred Qualifications
- 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.
- Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization
- Track record of building and deploying ML models at scale
- Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.)
- Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools
- Hands-on experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
- Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Is this job a match or a miss?
Senior Applied Scientist, Generative AI Innovation Center
Posted 13 days ago
Job Viewed
Job Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
As an Applied Scientist, you will
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
- Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
- Provide customer and market feedback to product and engineering teams to help define product direction
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master's degree plus 10 years of relevant work experience
- 5+ years of hands on experience with Python to build, train, and evaluate models
- 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing
- 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.
- Scientific publication track record at top-tier AI/ML/NLP conferences or journals
Preferred Qualifications
- Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization
- Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.)
- Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools
- Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts
- Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas.
- Track record of leading the design, implementation and delivery of scientifically- complex solutions that span multiple teams.
- Experience driving scientific agenda and technical strategy in a team, including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Is this job a match or a miss?
The field of AI and emerging technologies is rapidly expanding, presenting numerous opportunities for skilled professionals. These roles involve working with cutting-edge innovations, including machine learning, deep learning, natural language processing, computer vision, and robotics. Professionals in this domain are responsible for developing, implementing, and maintaining