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