Explore the exciting field of AI Architect roles. These positions involve designing and implementing artificial intelligence solutions, requiring a strong understanding of 792 AI Architect jobs in Singapore
AI Architect
Posted 2 days ago
Job Viewed
Job Description
**Work with Us. Change the World.**
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world's most complex challenges and build legacies for future generations.
There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.
We're one global team driven by our common purpose to deliver a better world. Join us.
**Job Description**
We are seeking a visionary and technically accomplished AI Architect to join our Digital team and lead the strategy, design, and delivery of advanced AI-driven solutions.
This senior role is a unique opportunity for a passionate technologist to apply artificial intelligence, particularly large language models (LLMs) and machine learning (ML), to solve complex challenges in the built environment. From infrastructure systems to building design, your work will drive innovation in automation and optimisation across multidisciplinary engineering domains.
As a core member of our team, you will help shape the integration of AI into engineering workflows, collaborating across disciplines to deliver solutions that are scalable, reliable, and intuitive. Join us in transforming how infrastructure is designed and delivered, through bringing cutting-edge technologies to address some of the most pressing challenges in our cities and communities.
**Responsibilities:**
+ Design robust, scalable AI/ML architectures, including model pipelines, data ingestion, and deployment frameworks tailored to infrastructure projects.
+ Define and drive the AI roadmap for infrastructure planning and design applications, aligning with AECOM digital delivery goals and client needs.
+ Guide the development and fine-tuning of AI models to ensure alignment with regulatory requirements and core engineering principles.
+ Develop robust scripts and scalable model training pipelines using Python.
+ Lead the integration of AI tools with existing engineering tools (e.g. ArcGIS, AutoCAD Civil 3D, Revit, Rhino, FME), ensuring seamless interoperability and user adoption.
+ Mentor AI engineers and collaborate with civil engineers, utility specialists, and GIS/BIM specialists to bridge domain knowledge with AI capabilities.
+ Establish best practices for model validation, versioning, explainability, and compliance with relevant engineering and data standards.
+ Evaluate and introduce emerging AI technologies (e.g., LLMs, generative design, reinforcement learning) applicable to geospatial and infrastructure challenges.
**Qualifications**
**Qualifications:**
+ Bachelor's, Master's, or PhD in Computer Science, Data Science, Artificial Intelligence, or a related engineering discipline. Candidates with advanced degrees (Master's or PhD) are preferred.
+ 8+ years of experience in AI/ML development, with at least 3 years in an AI/ML architectural or leadership role.
+ Proven experience in applying AI to solve real-world problems, preferably in domains such as spatial/geometric analysis, geospatial data, or engineering applications.
+ Proficiency in Python and ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
+ Strong understanding of data architecture, MLOps pipelines, cloud computing (Azure/GCP/AWS), and model governance practices.
+ Excellent communication and stakeholder engagement skills, with the ability to influence both technical and non-technical stakeholders.
**Additional Information**
**About AECOM**
AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.
AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients' complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle - from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2024. Learn more at aecom.com.
**What makes AECOM a great place to work**
You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you'll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you've always envisioned. Here, you'll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.
As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.
**ReqID:** J
**Business Line:** Transportation
**Business Group:** DCS
**Strategic Business Unit:** Asia
**Career Area:** Digital & Engineering Technology
**Work Location Model:** Hybrid
AI Architect
Posted 1 day ago
Job Viewed
Job Description
About Us
We are a dynamic and fast-growing digital marketing company operating at the forefront of several high-growth industries including iGaming, fintech, education, and eCommerce. Our team thrives on innovation, data-driven strategies, and delivering top-tier results for our partners. We believe in pushing boundaries and are now taking a bold step forward with the launch of our cutting-edge AI Department.
Position SummaryAs part of our expansion, we are seeking a visionary AI Architect to lead the design and development of our next-generation AI-driven engine. This platform will power SEO automation, geo-targeted optimization, AI-enhanced content generation, and influencer marketing powered by intelligent automation. The ideal candidate will play a pivotal role in shaping the technical architecture, driving innovation, and collaborating closely with product and engineering teams to bring AI capabilities to life.
Key Responsibilities- Design and develop the architecture for an end-to-end AI platform tailored for digital marketing applications
- Lead the selection and integration of AI/ML technologies for SEO automation, content generation, personalization, and campaign optimization
- Collaborate with data scientists, engineers, and content strategists to build scalable and adaptive AI solutions
- Develop frameworks for geo-targeted optimization and multilingual content enhancement
- Create AI models for identifying and recommending influencer partnerships based on campaign goals and audience targeting
- Ensure scalability, performance, and security in all AI systems developed
- Stay abreast of industry trends, research advancements, and emerging technologies in AI and marketing tech
- Proven experience as an AI Architect, Machine Learning Engineer, or similar role
- Strong experience with AI applications in digital marketing, SEO, or content automation
- Excellent problem-solving, communication, and leadership skills
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field
- Deep understanding of machine learning frameworks (e.g., TensorFlow, PyTorch), NLP, and data engineering
- Experience designing scalable AI pipelines and cloud-based architectures (AWS)
- Familiarity with LLMs (Large Language Models) and their integration into production systems
- Knowledge of AI ethics, bias mitigation, and responsible AI practices
- Previous startup or high-growth company experience
- The opportunity to lead a transformative AI initiative from the ground up
- Flexible remote work environment
- Opportunities for professional growth and training
- The opportunity to lead a transformative AI initiative from the ground up
- A diverse, supportive, and collaborative team culture
Ready to join a winning team? Submit your application with a CV detailing your experience and achievements but also some data of your past work experience.
#J-18808-LjbffrAI Architect
Posted 5 days ago
Job Viewed
Job Description
Description & Requirements Position Summary
The Principal AI Architect is responsible for leading the design and implementation of advanced AI solutions and strategic architecture. Working closely with technology leaders from across our global client community, you will be their senior Trusted Advisor for their AI-enabled transformation journey.
This role demands deep understanding of AI and related technologies, running in Edge, on-prem and Public Cloud environments. Acting at the forefront of our industry you will be fully conversant with Generative AI, and its impact at both the individual employee and strategic organisational level.
The ideal candidate will be an established thought-leader, with solid architectural and engineering credentials. Working ahead of industry trends, deeply passionate about technology-enabled business transformation and demonstrating a strong innovation-led posture. As a thought leader, you will interact frequently with CxO level clients, AI industry leaders, provide expert opinions, and contribute to HCL’s strategic vision.
Key Responsibilities Technical & Engineering Leadership- Design comprehensive AI solution and technology architecture, integrating latest AI technology developments into world‑class solutions.
- Lead high‑level architectural discussions with clients, providing expert guidance on best practices for AI implementations across AI PC, Edge, Data Centre and Public Cloud environments.
- Ensure solutions align with modern best practices across the full spectrum of platforms and environments. Deep understanding across GPU/NPU, Cognitive Infrastructure, Application and Copilot/agent domains.
- Contribute leadership in the AI & Cloud domains with a deep understanding of opensource technologies (e.g., Kubernetes, OPEA) and partner technologies.
- Collaborate on joint technical projects with global partners, including Google, Microsoft, AWS, NVIDIA, IBM, Red Hat, Intel, and Dell.
- Architect innovative AI solutions from ideation to MVP, rapidly enabling genuine business value.
- Optimize AI and cloud architectures to meet client requirements, balancing efficiency, accuracy and effectiveness.
- Assess and review existing complex solutions and recommend architectural improvements to transform applications with latest AI technologies.
- Drive the adoption of cutting‑edge GenAI technologies spearheading initiatives that push the boundaries of AI integration across the full spectrum of environments.
- Provide expert architectural and strategy guidance to clients on incorporating Generative AI into their business and technology landscape.
- Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, establishing strong, trust‑based relationships.
- Act as a trusted advisor, contributing to technical projects with a strong focus on technical excellence and on‑time delivery.
- Author whitepapers, blogs, and speak at industry events, maintaining a visible presence as a thought leader in AI and associated technologies.
- Engage with multiple customers simultaneously, providing high‑impact consultative relationships.
- Work closely with internal teams and global partners to ensure seamless collaboration and knowledge sharing across projects.
- Maintain a hands‑on technical credibility, staying ahead of industry trends and mentoring others in the organization.
- 10+ years architecture design
- 7+ years in software engineering
- Professional‑level expertise in Public Cloud environments (AWS, Azure, Google Cloud)
- Demonstrable coding proficiency with Python, Java or Go languages
- Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL‑E, GEMINI), NLP techniques
- Working familiarity with Copilot solutions, in both software engineering and office productivity domains
- Exemplary verbal and written communication skills
- Agile and Scrum project management
- Knowledge of GenAI operations (LLMOps), experience governing AI models in production environments.
- Proficiency in data engineering for AI, including data preprocessing, feature engineering, and pipeline creation.
- Expertise in AI model fine‑tuning and evaluation, with a focus on improving performance for specialized tasks.
- Copilot design, engineering and extensions.
- Knowledgeable about Responsible AI, including governance and ethics. Bias mitigation, with experience in implementing strategies to ensure fair and unbiased AI solutions.
- Deep Learning Frameworks (TensorFlow, PyTorch)
- Innovation and Emerging Technology Trends
- Strategic AI Vision and Road mapping
- Enthusiastic about working in a fast‑paced environment using the latest technologies, and passionate about dynamic and high‑energy Lab culture.
- Recognized Professional certification from Google, Microsoft or AWS in an AI and/or Cloud‑related domain.
AI Architect
Posted 6 days ago
Job Viewed
Job Description
Company Description
At AECOM, we are delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world’s trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.
Job DescriptionWe are seeking a visionary and technically accomplished AI Architect to join our Digital team and lead the strategy, design, and delivery of advanced AI-driven solutions. This senior role is a unique opportunity for a passionate technologist to apply artificial intelligence, particularly large language models (LLMs) and machine learning (ML), to solve complex challenges in the built environment. From infrastructure systems to building design, your work will drive innovation in automation and optimisation across multidisciplinary engineering domains.
Responsibilities- Design robust, scalable AI/ML architectures, including model pipelines, data ingestion, and deployment frameworks tailored to infrastructure projects.
- Define and drive the AI roadmap for infrastructure planning and design applications, aligning with AECOM digital delivery goals and client needs.
- Guide the development and fine‑tuning of AI models to ensure alignment with regulatory requirements and core engineering principles.
- Develop robust scripts and scalable model training pipelines using Python.
- Lead the integration of AI tools with existing engineering tools (e.g. ArcGIS, AutoCAD Civil 3D, Revit, Rhino, FME), ensuring seamless interoperability and user adoption.
- Mentor AI engineers and collaborate with civil engineers, utility specialists, and GIS/BIM specialists to bridge domain knowledge with AI capabilities.
- Establish best practices for model validation, versioning, explainability, and compliance with relevant engineering and data standards.
- Evaluate and introduce emerging AI technologies (e.g., LLMs, generative design, reinforcement learning) applicable to geospatial and infrastructure challenges.
- Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Artificial Intelligence, or a related engineering discipline. Candidates with advanced degrees (Master’s or PhD) are preferred.
- 8+ years of experience in AI/ML development, with at least 3 years in an AI/ML architectural or leadership role.
- Proven experience in applying AI to solve real‑world problems, preferably in domains such as spatial/geometric analysis, geospatial data, or engineering applications.
- Proficiency in Python and ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit‑learn).
- Strong understanding of data architecture, MLOps pipelines, cloud computing (Azure/GCP/AWS), and model governance practices.
- Excellent communication and stakeholder engagement skills, with the ability to influence both technical and non‑technical stakeholders.
About AECOM
AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well‑being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.
AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public and private‑sector clients to create innovative, sustainable and resilient solutions throughout project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2024. Learn more at aecom.com.
What makes AECOM a great place to work
You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects – both in your local community and globally – that transform our industry and shape the future. With cutting‑edge technology and a network of experts, you’ll have the resources to make a real impact. Our award‑winning training and development programs expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned.
As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.
Job DetailsReqID: J
Business Line: Transportation
Business Group: DCS
Strategic Business Unit: Asia
Career Area: Digital & Engineering Technology
Work Location Model: Hybrid
AI Architect
Posted today
Job Viewed
Job Description
AI Architects design the overall structure of AI systems, ensuring they are scalable, secure, and aligned with business goals. They define technical roadmaps and oversee the implementation of AI projects.
Skills:
Proficient:
o Languages/Framework: Fast API, Azure UI Search API (React)
o Cloud: Azure Cloud Basics (Azure DevOps)
o Gitlab: Gitlab Pipeline
o Ansible and REX: Rex Deployment
o Data Science: Prompt Engineering + Modern Testing
o Data mining and cleaning
o ML (Supervised/unsupervised learning)
o NLP techniques, knowledge of Deep Learning techniques include RNN, transformers
o AI integration and deployment
o AI frameworks (PyTorch)
o AI/MLOps frameworks
o Model deployment processes
o Data pipeline monitoring
- Expert: (in addition to proficient skills)
o Languages/Framework: Azure Open AI
o Data Science: Open AI GPT 4/3, Embeddings + Vector Search
o Databases and ETL: Azure Storage Account
o Deep understanding of AI/ML algorithms and their applications
o Expertise in system design and architecture patterns
o Expertise in End-to-end AI solution delivery
o Knowledge of cloud-native AI solutions and microservices
o Familiarity with AI ethics, bias mitigation, and explainability
o Strong communication skills to collaborate with stakeholders
o Experience with AI deployment pipelines (MLOps)
o Knowledge of AI ethics frameworks and guidelines (e.g., EU AI Act, IEEE Ethically Aligned Design)
o Understanding of bias detection and mitigation techniques
o Familiarity with explainable AI (XAI) methods
o Strong understanding of data privacy laws (GDPR, CCPA)
- Ability to conduct AI impact assessments
AI Architect
Posted today
Job Viewed
Job Description
AI Architects design the overall structure of AI systems, ensuring they are scalable, secure, and aligned with business goals. They define technical roadmaps and oversee the implementation of AI projects.
Bachelors/Masters in Software engineering or AI
Min 6 to 8 yrs experience
Skills:
Proficient:
o Languages/Framework: Fast API, Azure UI Search API (React)
o Cloud: Azure Cloud Basics (Azure DevOps)
o Gitlab: Gitlab Pipeline
o Ansible and REX: Rex Deployment
o Data Science: Prompt Engineering + Modern Testing
o Data mining and cleaning
o ML (Supervised/unsupervised learning)
o NLP techniques, knowledge of Deep Learning techniques include RNN, transformers
o AI integration and deployment
o AI frameworks (PyTorch)
o AI/MLOps frameworks
o Model deployment processes
o Data pipeline monitoring
Expert: (in addition to proficient skills)
o Languages/Framework: Azure Open AI
o Data Science: Open AI GPT 4/3, Embeddings + Vector Search
o Databases and ETL: Azure Storage Account
o Deep understanding of AI/ML algorithms and their applications
o Expertise in system design and architecture patterns
o Expertise in End-to-end AI solution delivery
o Knowledge of cloud-native AI solutions and microservices
o Familiarity with AI ethics, bias mitigation, and explainability
o Strong communication skills to collaborate with stakeholders
o Experience with AI deployment pipelines (MLOps)
o Knowledge of AI ethics frameworks and guidelines (e.g., EU AI Act, IEEE Ethically Aligned Design)
o Understanding of bias detection and mitigation techniques
o Familiarity with explainable AI (XAI) methods
o Strong understanding of data privacy laws (GDPR, CCPA)
o Ability to conduct AI impact assessments
Job Type: Contract
Contract length: 12 months
Experience:
- AI Architect: 2 years (Required)
- Fast API: 1 year (Required)
- Cloud: 1 year (Preferred)
AI Architect
Posted today
Job Viewed
Job Description
Description & Requirements
Position Summary
The Principal AI Architect is responsible for leading the design and implementation of advanced AI solutions and strategic architecture. Working closely with technology leaders from across our global client community, you will be their senior Trusted Advisor for their AI-enabled transformation journey
This role demands deep understanding of AI and related technologies, running in Edge, on-prem and Public Cloud environments. Acting at the forefront of our industry you will be fully conversant with Generative AI, and its impact at both the individual employee and strategic organisational level.
The ideal candidate will be an established thought-leader, with solid architectural and engineering credentials. Working ahead of industry trends, deeply passionate about technology-enabled business transformation and demonstrating a strong innovation-led posture. As a thought leader, you will interact frequently with CxO level clients, AI industry leaders, provide expert opinions, and contribute to HCL's strategic vision.
Key Responsibilities
Technical & Engineering Leadership
• Design comprehensive AI solution and technology architecture, integrating latest AI technology
developments into world-class solutions.
• Lead high-level architectural discussions with clients, providing expert guidance on best practices for AI implementations across AI PC, Edge, Data Centre and Public Cloud environments.
• Ensure solutions align with modern best practices across the full spectrum of platforms and environments. Deep understanding across GPU/NPU, Cognitive Infrastructure, Application and Copilot/agent domains.
• Contribute leadership in the AI & Cloud domains with a deep understanding of opensource technologies (e.g., Kubernetes, OPEA) and partner technologies.
• Collaborate on joint technical projects with global partners, including Google, Microsoft, AWS, NVIDIA, IBM, Red Hat, Intel, and Dell.
Service Delivery & Innovation
• Architect innovative AI solutions from ideation to MVP, rapidly enabling genuine business value.
• Optimize AI and cloud architectures to meet client requirements, balancing efficiency, accuracy and
effectiveness.
• Assess and review existing complex solutions and recommend architectural improvements to transform applications with latest AI technologies.
• Drive the adoption of cutting-edge GenAI technologies spearheading initiatives that push the boundaries of AI integration across the full spectrum of environments.
Thought Leadership and Client Engagement
• Provide expert architectural and strategy guidance to clients on incorporating Generative AI into their business and technology landscape.
• Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, establishing strong, trust-based relationships.
• Act as a trusted advisor, contributing to technical projects with a strong focus on technical excellence and on-time delivery.
• Author whitepapers, blogs, and speak at industry events, maintaining a visible presence as a thought leader in AI and associated technologies. Collaboration and Customer Engagement
• Engage with multiple customers simultaneously, providing high-impact consultative relationships.
• Work closely with internal teams and global partners to ensure seamless collaboration and knowledge
sharing across projects.
• Maintain a hands-on technical credibility, staying ahead of industry trends and mentoring others in the organization.
Mandatory Skills & Experience
• Experience:
• 10+ years architecture design
• 7+ years in software engineering.
• Technologies:
• Professional-level expertise in Public Cloud environments (AWS, Azure, Google Cloud).
• Demonstrable coding proficiency with Python, Java or Go languages
• AI Expertise:
• Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP
techniques.
• Working familiarity with Copilot solutions, in both software engineering and office productivity
domains.
• Communication: Exemplary verbal and written communication skills.
• Project Methodologies: Agile and Scrum project management.
Desired Skills & Experience
• Knowledge of GenAI operations (LLMOps), experience Governing AI models in production environments.
• Proficiency in data engineering for AI, including data preprocessing, feature engineering, and pipeline
creation.
• Expertise in AI model fine-tuning and evaluation, with a focus on improving performance for specialized
tasks.
• Copilot design, engineering and extensions.
• Knowledgeable about Responsible AI, including governance and ethics. Bias mitigation, with experience in implementing strategies to ensure fair and unbiased AI solutions.
• Deep Learning Frameworks (TensorFlow, PyTorch)
• Innovation and Emerging Technology Trends
• Strategic AI Vision and Road mapping
• Enthusiastic about working in a fast-paced environment using the latest technologies, and passionate
about dynamic and high-energy Lab culture.
Verifiable Certification
• Recognized Professional certification from Google, Microsoft or AWS in an AI and/or Cloud-related domain.
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AI Architect
Posted today
Job Viewed
Job Description
Description & Requirements
Position Summary
The Principal AI Architect is responsible for leading the design and implementation of advanced AI solutions and strategic architecture. Working closely with technology leaders from across our global client community, you will be their senior Trusted Advisor for their AI-enabled transformation journey
This role demands deep understanding of AI and related technologies, running in Edge, on-prem and Public Cloud environments. Acting at the forefront of our industry you will be fully conversant with Generative AI, and its impact at both the individual employee and strategic organisational level.
The ideal candidate will be an established thought-leader, with solid architectural and engineering credentials. Working ahead of industry trends, deeply passionate about technology-enabled business transformation and demonstrating a strong innovation-led posture. As a thought leader, you will interact frequently with CxO level clients, AI industry leaders, provide expert opinions, and contribute to HCL's strategic vision.
Key Responsibilities
Technical & Engineering Leadership
- Design comprehensive AI solution and technology architecture, integrating latest AI technology
developments into world-class solutions.
Lead high-level architectural discussions with clients, providing expert guidance on best practices for AI implementations across AI PC, Edge, Data Centre and Public Cloud environments.
Ensure solutions align with modern best practices across the full spectrum of platforms and environments. Deep understanding across GPU/NPU, Cognitive Infrastructure, Application and Copilot/agent domains.
Contribute leadership in the AI & Cloud domains with a deep understanding of opensource technologies (e.g., Kubernetes, OPEA) and partner technologies.
Collaborate on joint technical projects with global partners, including Google, Microsoft, AWS, NVIDIA, IBM, Red Hat, Intel, and Dell.
Service Delivery & Innovation
Architect innovative AI solutions from ideation to MVP, rapidly enabling genuine business value.
Optimize AI and cloud architectures to meet client requirements, balancing efficiency, accuracy and
effectiveness.
Assess and review existing complex solutions and recommend architectural improvements to transform applications with latest AI technologies.
Drive the adoption of cutting-edge GenAI technologies spearheading initiatives that push the boundaries of AI integration across the full spectrum of environments.
Thought Leadership and Client Engagement
Provide expert architectural and strategy guidance to clients on incorporating Generative AI into their business and technology landscape.
Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, establishing strong, trust-based relationships.
Act as a trusted advisor, contributing to technical projects with a strong focus on technical excellence and on-time delivery.
Author whitepapers, blogs, and speak at industry events, maintaining a visible presence as a thought leader in AI and associated technologies. Collaboration and Customer Engagement
Engage with multiple customers simultaneously, providing high-impact consultative relationships.
Work closely with internal teams and global partners to ensure seamless collaboration and knowledge
sharing across projects.
- Maintain a hands-on technical credibility, staying ahead of industry trends and mentoring others in the organization.
Mandatory Skills & Experience
Experience:
10+ years architecture design
7+ years in software engineering.
Technologies:
Professional-level expertise in Public Cloud environments (AWS, Azure, Google Cloud).
Demonstrable coding proficiency with Python, Java or Go languages
AI Expertise:
Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP
techniques.
- Working familiarity with Copilot solutions, in both software engineering and office productivity
domains.
Communication: Exemplary verbal and written communication skills.
Project Methodologies: Agile and Scrum project management.
Desired Skills & Experience
Knowledge of GenAI operations (LLMOps), experience Governing AI models in production environments.
Proficiency in data engineering for AI, including data preprocessing, feature engineering, and pipeline
creation.
- Expertise in AI model fine-tuning and evaluation, with a focus on improving performance for specialized
tasks.
Copilot design, engineering and extensions.
Knowledgeable about Responsible AI, including governance and ethics. Bias mitigation, with experience in implementing strategies to ensure fair and unbiased AI solutions.
Deep Learning Frameworks (TensorFlow, PyTorch)
Innovation and Emerging Technology Trends
Strategic AI Vision and Road mapping
Enthusiastic about working in a fast-paced environment using the latest technologies, and passionate
about dynamic and high-energy Lab culture.
Verifiable Certification
- Recognized Professional certification from Google, Microsoft or AWS in an AI and/or Cloud-related domain.
AI Architect
Posted today
Job Viewed
Job Description
About Us
We are a dynamic and fast-growing digital marketing company operating at the forefront of several high-growth industries including iGaming, fintech, education, and eCommerce. Our team thrives on innovation, data-driven strategies, and delivering top-tier results for our partners. We believe in pushing boundaries and are now taking a bold step forward with the launch of our cutting-edge AI Department.
Position Summary
As part of our expansion, we are seeking a visionary
AI Architect
to lead the design and development of our next-generation AI-driven engine. This platform will power SEO automation, geo-targeted optimization, AI-enhanced content generation, and influencer marketing powered by intelligent automation. The ideal candidate will play a pivotal role in shaping the technical architecture, driving innovation, and collaborating closely with product and engineering teams to bring AI capabilities to life.
Key Responsibilities
Design and develop the architecture for an end-to-end AI platform tailored for digital marketing applications
Lead the selection and integration of AI/ML technologies for SEO automation, content generation, personalization, and campaign optimization
Collaborate with data scientists, engineers, and content strategists to build scalable and adaptive AI solutions
Develop frameworks for geo-targeted optimization and multilingual content enhancement
Create AI models for identifying and recommending influencer partnerships based on campaign goals and audience targeting
Ensure scalability, performance, and security in all AI systems developed
Stay abreast of industry trends, research advancements, and emerging technologies in AI and marketing tech
Requirements
Proven experience as an AI Architect, Machine Learning Engineer, or similar role
Strong experience with AI applications in digital marketing, SEO, or content automation
Excellent problem-solving, communication, and leadership skills
Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field
Nice to have
Deep understanding of machine learning frameworks (e.g., TensorFlow, PyTorch), NLP, and data engineering
Experience designing scalable AI pipelines and cloud-based architectures (AWS)
Familiarity with LLMs (Large Language Models) and their integration into production systems
Knowledge of AI ethics, bias mitigation, and responsible AI practices
Previous startup or high-growth company experience
What We Offer
The opportunity to lead a transformative AI initiative from the ground up
Flexible remote work environment
Opportunities for professional growth and training
The opportunity to lead a transformative AI initiative from the ground up
A diverse, supportive, and collaborative team culture
Ready to join a winning team? Submit your application with a CV detailing your experience and achievements but also some data of your past work experience.
#J-18808-Ljbffr
AI Architect
Posted today
Job Viewed
Job Description
Description & Requirements
Position Summary
The Principal AI Architect is responsible for leading the design and implementation of advanced AI solutions and strategic architecture. Working closely with technology leaders from across our global client community, you will be their senior Trusted Advisor for their AI-enabled transformation journey.
This role demands deep understanding of AI and related technologies, running in Edge, on-prem and Public Cloud environments. Acting at the forefront of our industry you will be fully conversant with Generative AI, and its impact at both the individual employee and strategic organisational level.
The ideal candidate will be an established thought-leader, with solid architectural and engineering credentials. Working ahead of industry trends, deeply passionate about technology-enabled business transformation and demonstrating a strong innovation-led posture. As a thought leader, you will interact frequently with CxO level clients, AI industry leaders, provide expert opinions, and contribute to HCL’s strategic vision.
Key Responsibilities
Technical & Engineering Leadership
Design comprehensive AI solution and technology architecture, integrating latest AI technology developments into world‐class solutions.
Lead high‐level architectural discussions with clients, providing expert guidance on best practices for AI implementations across AI PC, Edge, Data Centre and Public Cloud environments.
Ensure solutions align with modern best practices across the full spectrum of platforms and environments. Deep understanding across GPU/NPU, Cognitive Infrastructure, Application and Copilot/agent domains.
Contribute leadership in the AI & Cloud domains with a deep understanding of opensource technologies (e.g., Kubernetes, OPEA) and partner technologies.
Collaborate on joint technical projects with global partners, including Google, Microsoft, AWS, NVIDIA, IBM, Red Hat, Intel, and Dell.
Service Delivery & Innovation
Architect innovative AI solutions from ideation to MVP, rapidly enabling genuine business value.
Optimize AI and cloud architectures to meet client requirements, balancing efficiency, accuracy and effectiveness.
Assess and review existing complex solutions and recommend architectural improvements to transform applications with latest AI technologies.
Drive the adoption of cutting‐edge GenAI technologies spearheading initiatives that push the boundaries of AI integration across the full spectrum of environments.
Thought Leadership and Client Engagement
Provide expert architectural and strategy guidance to clients on incorporating Generative AI into their business and technology landscape.
Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, establishing strong, trust‐based relationships.
Act as a trusted advisor, contributing to technical projects with a strong focus on technical excellence and on‐time delivery.
Author whitepapers, blogs, and speak at industry events, maintaining a visible presence as a thought leader in AI and associated technologies.
Collaboration and Customer Engagement
Engage with multiple customers simultaneously, providing high‐impact consultative relationships.
Work closely with internal teams and global partners to ensure seamless collaboration and knowledge sharing across projects.
Maintain a hands‐on technical credibility, staying ahead of industry trends and mentoring others in the organization.
Mandatory Skills & Experience
10+ years architecture design
7+ years in software engineering
Professional‐level expertise in Public Cloud environments (AWS, Azure, Google Cloud)
Demonstrable coding proficiency with Python, Java or Go languages
Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL‐E, GEMINI), NLP techniques
Working familiarity with Copilot solutions, in both software engineering and office productivity domains
Exemplary verbal and written communication skills
Agile and Scrum project management
Desired Skills & Experience
Knowledge of GenAI operations (LLMOps), experience governing AI models in production environments.
Proficiency in data engineering for AI, including data preprocessing, feature engineering, and pipeline creation.
Expertise in AI model fine‐tuning and evaluation, with a focus on improving performance for specialized tasks.
Copilot design, engineering and extensions.
Knowledgeable about Responsible AI, including governance and ethics. Bias mitigation, with experience in implementing strategies to ensure fair and unbiased AI solutions.
Deep Learning Frameworks (TensorFlow, PyTorch)
Innovation and Emerging Technology Trends
Strategic AI Vision and Road mapping
Enthusiastic about working in a fast‐paced environment using the latest technologies, and passionate about dynamic and high‐energy Lab culture.
Verifiable Certification
Recognized Professional certification from Google, Microsoft or AWS in an AI and/or Cloud‐related domain.
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