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← 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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Type
Full-time
Work mode
On-site
Level
Staff
Industry
Other
Salary
Thương lượng
Location
Quận 1, Hồ Chí Minh, Hồ Chí Minh

Overview

  • 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

Summary of facts from the official posting. View original ↗

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