← Sun Life Vietnam Insurance Company Limited
AI Lead GenAI / RAG / Multi-Agent AWS
Sun Life Vietnam Insurance Company Limited · Hồ Chí Minh
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Địa điểm
Quận 1, Hồ Chí Minh, Hồ Chí Minh
Tổng quan
- Build real-world GenAI systems (NOT PoC)
- Lead AI initiatives across business functions
- Work closely with Regional GenAI teams and global standards
- 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
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