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 systemsDeep experience with modern AI tech stacks : LLM orchestration, vector DBs, containerized inference, LangChain / LangGraph, prompt engineeringHands-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 patternsUnderstanding of regulatory and ethical AI concerns (NAIC, NIST RMF, model transparency) is strongly preferredInsurance industry experience (especially P&C) is a plusExceptional communication and stakeholder engagement skillsPreferred Attributes
Ability to work across hybrid and offshore teamsComfortable with ambiguity and rapid iterationExperience with composable architecture, reusable accelerators, and scaling patternsExcited by the challenge of building the future of AI delivery in insurance