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AI Architect

AI Architect

ValueMomentumDelhi, India
5 days ago
Job description

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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