AI Architect

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