[13/10/2025] Ai Architect

7 days ago

Lal Bahadur Nagar, India ValueMomentum Full time

Job Title: AI Solutions Architect Department: AI & Emerging Tech Location: Hyderabad and Pune Reports To: Head of AI Engineering Practice Role 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 needed Qualifications · 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 skills Preferred 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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