251 AI Solutions jobs in Singapore
AI Solutions Associate
Posted 2 days ago
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Role Summary
Join the team to support the development and execution of AI and machine learning initiatives across the organization. This role bridges strategy and delivery, ensuring solutions are aligned with business goals, adopted effectively, and integrated seamlessly.
Key Responsibilities
- Support AI strategy development and execution.
- Research trends and use cases to inform decisions.
- Assist in defining project scope, goals, and business cases.
- Manage end-to-end AI solution delivery.
- Track project milestones and manage risks.
- Collaborate with technical and business teams.
- Ensure compliance with governance and regulatory standards.
- Support integration, change management, and user adoption.
- Promote AI literacy and capabilities firm-wide.
- Stay informed on industry and technology developments.
Requirements
- Bachelor’s or Master’s degree.
- 5+ years in consulting, strategy, or tech transformation.
- Strong understanding of AI/ML and data concepts.
- Experience in financial services or regulated industries preferred.
- Skilled in PowerPoint, Excel, and communicating complex ideas.
- Strong analytical, organizational, and stakeholder management skills.
- Comfortable with ambiguity and fast-paced environments.
Personal data collected will be used for recruitment purposes only.
Only shortlisted candidates will be notified / contacted.
EA Registration No: R21101138
"Sanderson-iKas" is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: 200914065E with EA license number 16S8086.
Website:
Delivery Lead (AI Solutions)
Posted today
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Role Overview:
This position is responsible for shaping and executing the AI strategy, ensuring AI initiatives align with business goals and are successfully integrated across the organization. The role oversees the end-to-end delivery of AI solutions, leads cross-functional teams, and drives adoption and operational integration.
Key Responsibilities:
- Define and implement AI strategy and roadmap
- Collaborate with business stakeholders to identify AI opportunities
- Lead delivery of AI initiatives from ideation through deployment and operationalization
- Ensure AI solutions comply with governance, regulatory, and ethical standards
- Manage stakeholder engagement and support user adoption and change management
- Track project performance, risks, and success metrics
- Foster AI culture and capability building firm-wide
- Stay current with AI trends and manage vendor relationships
Requirements:
- 8+ years in strategy, consulting, or transformation (preferably within Financial Services)
- Strong knowledge of AI/ML, data governance, and AI-related risks
- Experience leading complex technology projects with cross-functional teams
- Experience managing technology transformation projects
- Excellent communication, stakeholder management, and project management skills
- Strong understanding of key data and AI concepts such as data management, data governance, AI risks
- Understanding of technical disciplines including data, analytics and AI
- Passionate about innovation, continuous learning, and AI-driven business transformation
Personal data collected will be used for recruitment purposes only.
Only shortlisted candidates will be notified / contacted.
EA Registration No: R21101138
"Sanderson-iKas" is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: 200914065E with EA license number 16S8086.
Website:
AI Solutions Architect - Singapore
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Join to apply for the AI Solutions Architect - Singapore role at Neo4j
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Join to apply for the AI Solutions Architect - Singapore role at Neo4j
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About Neo4j
Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.
About Neo4j
Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.
At Neo4j, we’re proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart.
Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving it’s accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j’s cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at neo4j.com and follow us on LinkedIn.
Our Vision
At Neo4j, we have always strived to help the world make sense of data.
As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.
As an AI Solutions Consultant at Neo4j, you will drive transformative change by designing, building, and deploying innovative solutions that combine the power of graph databases and AI. You'll work hands-on to develop scalable, production-grade solutions while acting as a trusted advisor to strategic customers, translating complex data challenges into tangible business value. This involves collaborating closely with customer executives and technical leaders to understand their specific needs and then leveraging your expertise in graph technologies, LLMs, and AI orchestration frameworks to develop bespoke, production-ready AI applications grounded in real-world context using Neo4j Knowledge Graphs.
Providing hands-on consulting and technical expertise for customer engagements will be central to your role. You'll collaborate with Neo4j's most strategic customers on projects that revolutionize their businesses. You'll also collaborate with key Neo4j cloud partners to deliver joint consulting services, offering technical guidance and best practices.
Key Responsibilities
Solution Architecting:
- You will work with customer technical leads, customer executives, and partners to manage and deliver successful implementations of Graph+GenAI solutions becoming a trusted advisor to decision-makers throughout the engagement.
- You will propose solution architectures and manage the deployment of Graph+GenAI solutions according to complex customer requirements and implementation best practices.
- You will work directly with customers to understand their business objectives and translate them into AI-powered solutions that leverage graph databases and LLMs. This includes gathering requirements, understanding existing data landscapes, and identifying opportunities to apply graph-based AI to solve business challenges.
- You will interact with customer stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful customer outcomes.
- You will develop, test, and deploy production-ready AI applications that integrate graph databases with LLMs and orchestration frameworks. This involves writing production-level code, optimizing for performance and scalability, and ensuring seamless integration with customer systems.
- Continuously evaluate and improve the performance, scalability, and efficiency of deployed AI applications, incorporating new techniques and technologies as they emerge.
- You will work with other teams at Neo4j (Product and Marketing) to influence the roadmap and provide insights from the field, and package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
- You will share your expertise internally with other Neo4j teams and also with customers through workshops, training sessions, and documentation to empower them to effectively utilize, maintain, and reproduce the AI solutions you deliver.
- Maintain continuous learning and stay up-to-date with the rapidly evolving GenAI landscape, proactively seeking knowledge of new trends and technologies.
- Enterprise Application Development: 5+ years of experience in designing and developing enterprise-class applications, demonstrating a strong understanding of software development lifecycle principles.
- LLM Proficiency: 2+ years of Experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, and integrating LLMs into applications. Maintain up-to-date knowledge of different LLM providers and their strengths and limitations (e.g., OpenAI’s GPT and O families, Anthropic’s Claude family, Google’s Gemini, xAI’s Grok, as well as open-source LLMs like LLama, DeepSeek, and Mistral).
- Programming Proficiency: Competence and hands-on experience in at least one of the following languages: Java, JavaScript, Python, or C#. Ability to write clean, maintainable, and efficient code is essential.
- Deployment and Version Control: Hands-on experience with deployment software on major platforms, such as Linux, Docker, and Kubernetes, and proficiency in source control software, including Git and SVN.
- Cloud Computing Expertise: Practical experience with cloud platforms (e.g., AWS, Azure, GCP) and demonstrated proficiency in deploying applications within cloud environments.
- Generative AI Ecosystem Knowledge: Deep understanding of the generative AI ecosystem, including AI orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning).
- Data Expertise: Strong foundation in data engineering, data analytics, or data science, with the ability to work effectively with various data types and sources. Experience using big data technologies (e.g. Hadoop, Spark, Hive) and database management systems (e.g. SQL and NoSQL).
- Graph Database Expertise: Deep understanding of graph database concepts, data modeling, and query languages (e.g., Cypher). Demonstrate hands-on experience with graph databases (e.g., Neo4j, Neptune, TigerGraph) or triple stores (e.g., Ontotext, Stardog).
- Communication and Collaboration Skills: Excellent communication and interpersonal skills to effectively collaborate with customers and internal teams, fostering strong working relationships.
- Problem-Solving and Analytical Abilities: Strong analytical and problem-solving abilities to address complex technical challenges and design effective AI solutions.
- You will have the ability to travel up to 50% of the time for customer engagements.
- Seniority level Associate
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries IT Services and IT Consulting and Software Development
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#J-18808-LjbffrAI Solutions Architect, Public Sector
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Artificial intelligence (AI) Solutions Senior Engineer
Posted 4 days ago
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About ST Engineering
ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.
Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.
About our Line of Business - Training & Simulation Systems
Our Training & Simulation Systems business has close to 40 years of experience in delivering innovative learning, training, and simulation solutions to customers in the defence, public safety and security, and enterprise domains. We envision to create a better future together through learning, training, and simulation.
Together, We Can Make A Significant Impact
Train better and smarter – as a Senior Engineer working on AI in Training and Simulation, you will play a pivotal role in transforming training by leveraging advanced algorithms and machine learning techniques to create more efficient training experiences. Successful candidate for this role will have the opportunities to work on many challenging use cases across a while range of AI technologies.
Be Part of Our Success
- Develop Proof of Concepts (POCs) for AI-related projects, including but not limited to:Large Language Models (LLM)
Agentic AI
Automatic Speech Recognition (ASR)
Computer Vision - Conduct research and stay updated with the latest advancements in AI and machine learning.
- Design, implement, and evaluate algorithms and models.
- Collaborate with cross-functional teams to integrate AI solutions into products.
- Document and present findings, methodologies, and results to stakeholders.
- Work independently to solve complex problems and drive projects to completion.
Qualities We Value
- Proven experience in AI and machine learning projects.
- Strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar.
- Experience with developing and deploying AI models.
- Knowledge of natural language processing, computer vision, and speech recognition technologies.
- Excellent problem-solving skills and the ability to work independently.
- Strong communication skills and the ability to present technical information clearly.
Our Commitment That Goes Beyond the Norm
- An environment where you will be working on cutting-edge technologies and architectures.
- Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
- Meaningful work and projects that make a difference in people’s lives.
- A fun, passionate and collaborative workplace.
- Competitive remuneration and comprehensive benefits.
Gen AI Solutions Architect, ASEAN Startups
Posted today
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Join to apply for the Gen AI Solutions Architect, ASEAN Startups role at Amazon Web Services (AWS)
Gen AI Solutions Architect, ASEAN StartupsJoin to apply for the Gen AI Solutions Architect, ASEAN Startups role at Amazon Web Services (AWS)
Description
Do you like startups? Are you interested in the intersection of cloud computing and disrupting innovation? Are you interested in the development and practical application of deep learning and generative AI? Yes? We have a role you might find interesting.
Description
Do you like startups? Are you interested in the intersection of cloud computing and disrupting innovation? Are you interested in the development and practical application of deep learning and generative AI? Yes? We have a role you might find interesting.
Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and challenge the status quo. They seek to address underserved customers, or to challenge incumbents. They usually operate in an environment of scarcity: whether that’s capital, engineering resource, or experience. This is where you come in.
We are looking for technical builders who love the idea of working with early stage startups to help them as they grow. In this role, you’ll work directly with a variety of interesting customers and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor.
As a member of the AWS Startups team, you will work directly with customers to help them successfully leverage AWS technology at scale.
Along with spending time working directly with customers, you’ll also get plenty of time to learn new technologies and keep your skills fresh. We have 200+ services across a range of different categories and it’s important that we can help startups take advantages of the right ones. You’ll also play an important role as an advocate with our product teams to make sure we are building the right products and features for the startups you work with. And for the customers you don’t get to work with on a 1:1 basis you’ll share knowledge more broadly by working on technical content and presenting at events.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Key job responsibilities
- Help a diverse range of early and late stage startups to adopt the right architecture at each part of their lifecycle
- Support startups in architecting scalable, reliable and secure solutions
- Support adoption of a broad range of AWS services to deliver business value and accelerate growth
- Support the evolution and roadmap of the AWS platform and services, connecting our engineering teams with our customers for feedback
- Establish and build technical relationships within the startup ecosystem, including founders, key technical decision makers and investors
- Develop startup specific technical content, such as blog posts, sample code and solutions, to assist customers solve technical problems and reduce time-to-market
The AWS Startup Solutions Architecture team is dedicated to working with startup companies as they build their businesses. We're here to help them deploy the best, most scalable, most secure, cost effective and easy to operate architectures.
Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and to challenge the status quo. To address underserved customers or to challenge incumbents. They usually operate in an environment of scarcity: whether that's capital, engineering resource, or experience.
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
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 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
- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 5+ years of design, implementation, or consulting in applications and infrastructures experience
- 12+ years of IT development or implementation/consulting in the software or Internet industries experience
- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs
- Experience working with end user or developer communities
Company - Amazon Web Services Singapore Private Limited
Job ID: A3011803 Seniority level
- Seniority level Not Applicable
- Employment type Full-time
- Job function Consulting, Information Technology, and Engineering
- Industries IT Services and IT Consulting
Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x
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#J-18808-LjbffrAI Solutions Architect, Public Sector - Singapore
Posted today
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About Mistral
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.
We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on .
Role Summary
As our Solution Architect focusing on the public sector in the APAC market, you will play a pivotal role in driving the adoption of Mistral AI's state-of-the-art solutions among government agencies and public institutions. Based in Singapore, you will collaborate closely with our Enterprise Account Executives and Applied AI Engineering team to ensure successful implementation and integration of our products. Your technical expertise and strategic vision will be crucial in addressing the unique needs of the public sector and maximizing the value of our solutions.
What You Will Do
Pre-Sale & Sales Activities:
- Conduct effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives.
- Contribute to identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for public sector clients.
- Collaborate with the sales team to progress deals and penetrate accounts, providing technical expertise and insights where necessary.
- Influence evaluation criteria and gain control of evaluations and the evaluation process.
- Create a strategic vision for the customer based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.
Product Implementation & Integration:
- Guide and support public sector clients in deploying our text completion API into their infrastructure.
- Work closely with clients to fine-tune models according to their specific requirements.
- Assist clients in integrating our APIs into their front-end interfaces, ensuring a smooth user experience.
- Regularly liaise with the product and technical teams to relay feedback and suggest improvements.
Customer Success & Support:
- Collaborate with Account Executives to ensure that the customer is maximizing the product's potential.
- Provide post-deployment support, addressing any issues or challenges that arise promptly.
- Offer recommendations for product optimizations or new features based on customer feedback.
- Develop custom features for customers as needed.
About You
• Proven experience in a technical pre-sales or consulting role with a heavy emphasis on customer-facing interactions (e.g., Implementation Consultant, Solutions Architect, Sales Engineer).
• Strong Python development skills with a proven ability to integrate data from multiple sources.
• Experience with cloud architecture and deployment patterns for AI/ML solutions.
• Track record of managing complex implementation projects from discovery to delivery.
• Experience running solution design workshops and translating business requirements into technical specifications.
• Strong stakeholder management skills, including experience working with C-level executives.
• Outstanding presentation and communication skills, with the ability to adapt messaging for technical and business audiences.
• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields (or equivalent experience).
Ideally you have:
• Experience in successful deployments of Generative AI or traditional machine learning solutions in enterprise environments, including prototyping and customization.
• Familiarity with deal qualification using MEDDPICC and/or value-based sales methodologies like Command of the Message.
Benefits
Competitive cash salary and equity
Health Insurance
Sport : $90 for gym membership allowance
Food : $00 monthly allowance for meals (solution might evolve as we grow bigger)
Transportation : 120/month for public transport or Parking charges reimbursed
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Gen AI Solutions Architect, ASEAN Startups
Posted 28 days ago
Job Viewed
Job Description
Do you like startups? Are you interested in the intersection of cloud computing and disrupting innovation? Are you interested in the development and practical application of deep learning and generative AI? Yes? We have a role you might find interesting.
Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and challenge the status quo. They seek to address underserved customers, or to challenge incumbents. They usually operate in an environment of scarcity: whether that's capital, engineering resource, or experience. This is where you come in.
We are looking for technical builders who love the idea of working with early stage startups to help them as they grow. In this role, you'll work directly with a variety of interesting customers and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You'll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor.
As a member of the AWS Startups team, you will work directly with customers to help them successfully leverage AWS technology at scale.
Along with spending time working directly with customers, you'll also get plenty of time to learn new technologies and keep your skills fresh. We have 200+ services across a range of different categories and it's important that we can help startups take advantages of the right ones. You'll also play an important role as an advocate with our product teams to make sure we are building the right products and features for the startups you work with. And for the customers you don't get to work with on a 1:1 basis you'll share knowledge more broadly by working on technical content and presenting at events.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Key job responsibilities
- Help a diverse range of early and late stage startups to adopt the right architecture at each part of their lifecycle
- Support startups in architecting scalable, reliable and secure solutions
- Support adoption of a broad range of AWS services to deliver business value and accelerate growth
- Support the evolution and roadmap of the AWS platform and services, connecting our engineering teams with our customers for feedback
- Establish and build technical relationships within the startup ecosystem, including founders, key technical decision makers and investors
- Develop startup specific technical content, such as blog posts, sample code and solutions, to assist customers solve technical problems and reduce time-to-market
A day in the life
The AWS Startup Solutions Architecture team is dedicated to working with startup companies as they build their businesses. We're here to help them deploy the best, most scalable, most secure, cost effective and easy to operate architectures.
Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and to challenge the status quo. To address underserved customers or to challenge incumbents. They usually operate in an environment of scarcity: whether that's capital, engineering resource, or experience.
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
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 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
- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 5+ years of design, implementation, or consulting in applications and infrastructures experience
- 12+ years of IT development or implementation/consulting in the software or Internet industries experience
Preferred Qualifications
- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs
- Experience working with end user or developer communities
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.
Project Lead, Hardware Cybersecurity AI Solutions
Posted 2 days ago
Job Viewed
Job Description
At Flexxon, we don’t just build products—we build the future. We are a cybersecurity technology company on a mission to redefine industry standards, push boundaries, and create transformative solutions that protect the digital world.
Joining Flexxon isn’t about securing a job—it’s about embarking on an entrepreneurial journey where you don’t just work for the company; you grow with it. We seek visionaries who think beyond the ordinary, strategists who dare to challenge the status quo, and action-takers who execute with intensity and precision.
If you’re someone who thrives in a fast-paced, high-stakes environment where your work truly matters, Flexxon is the place for you.
We are seeking a highly motivated and experienced Project Lead to spearhead the development of cutting-edge hardware cybersecurity solutions that leverage the power of Artificial Intelligence. As the Project Lead, you will be responsible for leading a cross-functional team of engineers and researchers to design, develop, and deploy innovative solutions that protect critical infrastructure and sensitive data.
Responsibilities:
- Strategic Leadership: Define and execute the overall vision and strategy for the hardware cybersecurity AI project.
- Team Management: Build, lead, and inspire a high-performing team of engineers, researchers, and cybersecurity experts.
- Technical Expertise: Possess a deep understanding of hardware security principles, AI algorithms, and machine learning techniques.
- Solution Design: Architect and design innovative hardware cybersecurity solutions that integrate AI capabilities to detect, prevent, and respond to threats.
- Project Management: Oversee the entire project lifecycle, including planning,execution, and delivery, ensuring adherence to timelines, budgets, and quality standards.
- Collaboration: Foster strong collaboration with cross-functional teams, including hardware engineers, software engineers, cybersecurity experts, and AI researchers.
- Innovation: Drive innovation by exploring emerging technologies and trends in hardware security and AI.
- Risk Management: Identify and mitigate potential risks and vulnerabilities associated with hardware cybersecurity solutions.
- Customer Focus: Understand customer needs and requirements, and deliver solutions that meet their specific needs.
Qualifications:
- Advanced degree in Computer Science, Electrical Engineering, or a related field.
- Proven experience in leading complex projects.
- Strong understanding of hardware security principles, including secure boot, hardware root of trust, and side-channel attacks.
- Expertise in AI and machine learning algorithms.
- Proficiency in programming languages such as C/C++, Python, and Verilog/VHDL.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills.
- Ability to work collaboratively in a fast-paced environment.
Preferred Qualifications:
- Experience with hardware security certifications and standards (e.g., Common Criteria, FIPS 140-2).
- Knowledge of cloud security and network security principles.
- Experience with AI hardware accelerators and specialized hardware for machine learning.
If you are passionate about cybersecurity and AI, and have the skills and drive to lead a team in developing cutting-edge solutions, we encourage you to apply.
Artificial intelligence (AI) Solutions Senior Engineer - DSC/JS/17182
Posted today
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Job Description
About ST Engineering
ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.
Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.
About our Line of Business - Training & Simulation Systems
Our Training & Simulation Systems business has close to 40 years of experience in delivering innovative learning, training, and simulation solutions to customers in the defence, public safety and security, and enterprise domains. We envision to create a better future together through learning, training, and simulation.
Together, We Can Make A Significant Impact
Train better and smarter – as a Senior Engineer working on AI in Training and Simulation, you will play a pivotal role in transforming training by leveraging advanced algorithms and machine learning techniques to create more efficient training experiences. Successful candidate for this role will have the opportunities to work on many challenging use cases across a while range of AI technologies.
Be Part of Our Success
- Develop Proof of Concepts (POCs) for AI-related projects, including but not limited to:
- Large Language Models (LLM)
- Agentic AI
- Automatic Speech Recognition (ASR)
- Computer Vision
- Conduct research and stay updated with the latest advancements in AI and machine learning.
- Design, implement, and evaluate algorithms and models.
- Collaborate with cross-functional teams to integrate AI solutions into products.
- Document and present findings, methodologies, and results to stakeholders.
- Work independently to solve complex problems and drive projects to completion.
Qualities We Value
- Proven experience in AI and machine learning projects.
- Strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar.
- Experience with developing and deploying AI models.
- Knowledge of natural language processing, computer vision, and speech recognition technologies.
- Excellent problem-solving skills and the ability to work independently.
- Strong communication skills and the ability to present technical information clearly.
Our Commitment That Goes Beyond the Norm
- An environment where you will be working on cutting-edge technologies and architectures.
- Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
- Meaningful work and projects that make a difference in people’s lives.
- A fun, passionate and collaborative workplace.
- Competitive remuneration and comprehensive benefits.