AI Architect

3 days ago

New Delhi, India ValueMomentum Full time

Job Title: AI Solutions Architect Department: AI & Emerging Tech Location: Hyderabad and Pune Reports To: Head of AI Engineering PracticeRole Summary The AI Solutions Architect is a senior technical leader responsible for designing, orchestrating, and guiding the implementation of GenAI, RAG, and agentic systems for P&C insurance clients. This role leads AI delivery pods, working closely with engineers, platform specialists, and evaluation teams to deliver scalable, compliant, and production-ready AI solutions. You will shape solution architectures, define agentic workflows, and act as a technical advisor to both internal stakeholders and client teams, ensuring that innovation translates into operational success.Key Responsibilities· Serve as technical lead across GenAI and agentic system delivery, guiding pods from architecture to deployment · Design end-to-end solutions using LLMs, LangGraph (or similar), vector search, orchestration frameworks, and observability patterns · Collaborate with clients to align architecture to their environments (cloud, hosted LLMs, OSS stacks, hybrid) · Translate insurance-specific workflows (e.g., claims, underwriting, policy) into AI-first architectures · Define system boundaries, toolchain integrations, and fallback strategies (e.g., retrieval logic, eval hooks, safety measures) · Partner with evaluation and governance teams to ensure NAIC/NIST-aligned compliance · Support PoC-to-production transitions, performance optimization, and scaling patterns · Provide mentorship to AI Engineers and Platform/Ops team members · Rotate between internal framework work and external client delivery as neededQualifications· 8+ years in software engineering or solution architecture, with at least 2+ years in GenAI or LLM-based systems · Deep experience with modern AI tech stacks: LLM orchestration, vector DBs, containerized inference, LangChain/LangGraph, prompt engineering · Hands-on expertise in designing RAG pipelines, multi-agent flows, or embedded AI features (e.g., copilots, chatbots, SmartDocs) · Knowledge of cloud platforms (AWS, Azure, etc.), CI/CD, and observability patterns · Understanding of regulatory and ethical AI concerns (NAIC, NIST RMF, model transparency) is strongly preferred · Insurance industry experience (especially P&C) is a plus · Exceptional communication and stakeholder engagement skillsPreferred Attributes · Ability to work across hybrid and offshore teams · Comfortable with ambiguity and rapid iteration · Experience with composable architecture, reusable accelerators, and scaling patterns · Excited by the challenge of building the future of AI delivery in insurance

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