AI Lead (GenAI / RAG / Multi-Agent | AWS)

Job description

We are building next-generation AI capabilities to transform how insurance operates — from customer interaction to underwriting and fraud detection.

As an AI Team Lead, you will own the end-to-end development of production-grade GenAI systems, including a Knowledge Virtual Assistant powered by RAG and multi-agent architectures, while shaping the AI strategy in Vietnam. This is a rare opportunity to:

• Build real-world GenAI systems (NOT PoC)
• Lead AI initiatives across business functions
• Work closely with Regional GenAI teams and global standards

KEY RESPONSIBILITIES:

Execution 

• Define and execute the AI/ML technical roadmap in alignment with both local business priorities and Sun Life Regional/Global GenAI strategy.
• Architect and deliver the Knowledge Virtual Assistant using advanced RAG and Multi-Agent systems tailored to each business block. 
• Lead LLM fine-tuning initiatives for insurance-specific and Vietnamese-language models. 
• Drive Computer Vision and ASR initiatives (document processing, claims image analysis, voice enabled compliance recording). 
• Oversee other strategic AI/ML initiatives: customer personalization, claims automation, fraud 
  detection, predictive underwriting, and analytics. 
• Establish robust end-to-end MLOps practices and production pipelines on AWS. 

Governance and Technical Leadership 

• Champion new AWS AI technologies while maintaining alignment with Regional GenAI architecture guidelines. 
• Actively collaborate with the Regional GenAI Team to ensure all solutions comply with global architecture standards, security & governance frameworks, and strategic direction. 
• Ensure all AI/ML solutions meet security, governance, model risk, and regulatory requirements 
  (including PDPA, Vietnamese insurance laws on call recording, and Sun Life global standards). 

Lead and Manage AI Team 

• Lead, mentor, and develop a team of AI Engineers, Data Scientists, and Data engineers. 
• Champion the adoption of structured AI development methodologies, including Vibe Coding combined with BMAD across the team. 
• Ensure all activities, decisions and deliverables comply with fair treatment of Clients principles, proactively 
  identifying and mitigating risks of unfair client outcomes in line with Company conduct expectations.

Your skills and experience

• 7–10 years in AI/ML Engineering, with strong hands-on experience 
• 4+ years in a technical leadership role 
• Proven track record delivering production-grade AI systems (not just research/PoC)
• Strong production AI experience on AWS is mandatory
• Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, Machine Learning, or related fields.

Strong expertise in

• Python + modern AI frameworks 
• Generative AI / LLM / RAG systems (vector DB, reranking, evaluation)
• LangChain / LangGraph (multi-agent systems)
• AWS AI ecosystem (Bedrock, SageMaker, MLOps stack)
• MLOps & Data Engineering on AWS 
• Docker, Kubernetes (EKS), Terraform or similar

Nice-to-have

• Experience with other cloud platforms: Microsoft Azure (Azure OpenAI, AI Studio) or Google Cloud (Vertex AI, Gemini)
• Exposure to Speech AI / Computer Vision
• Previous success building internal virtual assistants or AI platforms in Insurance, Fintech, or Banking
• AWS ML certifications

What makes you successful

• Strong ownership mindset with ability to lead from concept to production
• Ability to bridge business needs and technical solutions
• Comfortable working in fast-evolving GenAI landscape
• Ability to effectively collaborate with Regional GenAI teams and local stakeholders. 
• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders (Business Unit Heads, Department Leaders, IT, Compliance, etc.).

Why you'll love working here

• Work on cutting-edge GenAI & multi-agent systems
• Build AI products with real business impact at scale
• Regional exposure and collaboration
• Opportunity to shape the AI future of a leading insurance company
• Transparent and competitive compensation, reviewed annually and tied to performance
• Comprehensive health & well-being