Generative / Agentic AI Practioner - Innovation Labs

Axis Max Life Insurance Limited · Gurgaon

  • Experience3–4 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelmid
  • Posted23 Sept 2026

About Axis Max Life Insurance Limited

Axis Max Life Insurance Limited is hiring in Gurgaon in insurance. This role looks for around 3+ years of experience.

Skills

  • Generative AI
  • agentic workflows
  • prompt engineering
  • retrieval-augmented generation
  • LLM platforms
  • workflow automation
  • n8n
  • Zapier
  • Make
  • AI governance
  • data privacy

The role

A Generative AI Engineer at an insurance company builds agentic workflows that solve operational problems, applying prompt engineering and retrieval-augmented generation to move prototypes into daily business use. The role also enables business users through practical workshops and demonstrations.

Full job description

Team: AI, Data & Innovation LabsExperience: 3+ years hands-on with GenAI tools and platformsWhat this role isWe are building AI capability — not as a centre of excellence that publishes frameworks, but as a team that sits with business users, finds the friction, and ships something that removes it. Often within days.You will own use cases end to end. Discovery with the business, designing the workflow, building it with whatever tool fits, testing it with real users, and getting it into daily use. Then finding the next one.This is a builder role. You will not be handed a spec.What you'll doEmbed with business teams (Ops, Distribution, Underwriting, Customer Service, Finance) to identify where GenAI meaningfully changes how work gets doneDesign and build working solutions using LLM platforms, automation tools, and agentic workflows — prototype to productionWrite and iterate prompts, chain them, evaluate outputs, and build guardrails that hold up in a regulated environmentTrain and enable business users so they can operate what you build without youTrack adoption and impact, and be honest about what isn't workingRun internal enablement — demos, workshops, office hours — so AI fluency spreads beyond our teamTools you should already be fluent inLLM platforms: ChatGPT, Claude, Gemini — including projects, custom GPTs, artifacts, file handling, and knowledge groundingWorkflow and agent orchestration: n8n, Zapier, Make, or equivalentAgentic frameworks and multi-step automation — you understand how agents plan, call tools, and failRAG concepts in practice: chunking, retrieval quality, why a bot returns the wrong answer and how to fix itPrompt engineering as a working discipline, not a buzzwordWho we're looking for3+ years of hands-on GenAI and AgenticAI work — building things people actually use, not evaluating vendorsYou can go from a business conversation to a working prototype without anyone unblocking youYou know AI deeply: what these models can do, where they break, what is hype and what is realYou can hold your own with a business head and with an engineerYou are relentlessly curious and you experiment on your own time because you can't help itWe are not looking forTraditional Software engineers Consultants who produce strategy decks and roadmapsAnyone who needs a detailed brief before startingNice to haveBFSI or insurance exposureAwareness of AI governance and data privacy in regulated environments (IRDAI, DPDP)A portfolio: workflows, agents, GPTs, automations — show us what you've built