Senior AI Engineer Genai Rag Multi Agent AWS Aperture Cloud 2721

Top 3 Reasons To Join Us The Job We are building next-generation AI capabilities to transform how insurance operates — from customer interaction to underwriting, claims, and fraud detection. As a Senior AI Engineer, you will play a key hands-on role in building production-grade GenAI and AI systems, including a Knowledge Virtual Assistant powered by advanced RAG and multi-agent architectures. This is a great opportunity to: Work on real GenAI systems at scale (NOT PoC) Build AI products used across business functions Collaborate with regional AI teams and global standards KEY RESPONSIBILITIES: Execution Design, develop, and implement the Knowledge Virtual Assistant using advanced RAG and Multi-Agent Architecture. Build multi-agent systems (supervisor + domain-specific agents) tailored to each business function (Sales, Underwriting, Claims, Finance, Compliance, HR, IT, etc.). Develop other strategic AI/ML solutions: customer personalization, claims automation, fraud detection, predictive underwriting, and analytics. Build and maintain robust end-to-end MLOps pipelines and production deployment on AWS. Apply structured AI development methodologies such as Vibe Coding combined with BMAD to deliver predictable, high-quality outcomes. Lead LLM fine-tuning initiatives for insurance-specific and Vietnamese-language models. Consultation and Governance Contribute to Computer Vision and Automatic Speech Recognition (ASR) solutions, including document processing, claims image analysis, and voice-enabled compliance recording (as required by Vietnamese insurance regulations). Actively collaborate with the Regional GenAI Team to ensure all solutions comply with global AI architecture standards, best practices, security, and guidelines. Others Support other tasks as required by higher management 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 Must-have 5–8 years of experience in AI/ML Engineering Proven experience delivering production-grade AI systems (not just 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 + AI/ML frameworks Generative AI / LLM / RAG systems LangChain / LangGraph (multi-agent systems) AWS AI ecosystem (SageMaker, Bedrock is a plus) MLOps & production deployment Docker, Kubernetes, Terraform (or similar) Nice-to-have Experience with multi-agent AI systems in production Exposure to Computer Vision / Speech AI Experience in Fintech / Insurance / Banking Multilingual AI (Vietnamese + English) AWS certifications What makes you successful Strong ownership mindset — able to deliver from design → production Passion for cutting-edge GenAI technologies Ability to solve real-world AI problems (not just research) Clear communication and collaboration skills, especially when working with Regional GenAI teams and local business units. 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