Sr. AI Engineer 4B

Overview

Forward Deployed Engineer on Genpact's Applied AI team, embedding with enterprise customers to build and ship production AI applications.

What you'll do

• Work inside customer systems to build production applications with Claude and other frontier models that meet real customer requirements.
• Deliver technical artifacts: agentic workflows, MCP servers, sub-agents, agent skills, evaluation harnesses, and integrations into the client's stack.
• Own a workstream end-to-end: discovery, architecture, build, demo, handoff.
• Make trade-offs between scope, speed, and quality in real time.
• Co-design solutions with client stakeholders at the Director and VP level.
• Provide white-glove deployment support inside enterprise environments.
• Identify and codify repeatable deployment patterns.
• Contribute reusable assets (code, prompts, skills, runbooks, reference implementations) back to the Genpact Applied AI practice.
• Stay current with LLM capabilities, agent frameworks, and the AI product development stack, and bring field insights back to product and partner teams.

What you'll need

• Experience in a technical, customer-facing role such as Forward Deployed Engineer, Solutions Engineer, Solutions Architect, or software engineer with consulting experience.
• Daily, hands-on working fluency with Claude (or a comparable frontier LLM) as a build tool, not as a chatbot.
• Production experience with LLMs: advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
• Strong programming skills in Python and, ideally, one or more of TypeScript, JavaScript, Java, or SQL.
• Experience shipping production applications, with a track record of shipping something a customer or end-user actually paid for, used, or measured.
• Ability to hold your own in a client conversation with senior stakeholders.
• High agency: comfortable navigating ambiguity in complex organizations and turning vague business problems into concrete technical plans.
• High cooperation mindset: balance competing priorities across customer teams, Genpact delivery, and partners with integrity.
• Required language: English, Proficient (C2).

Nice to have

• Domain depth in a regulated industry: life sciences, financial services, healthcare, or insurance.
• Hands-on experience with MCP, agent frameworks (Claude Code, Cursor, LangGraph, etc.), evaluation tooling, or LLM observability.
• Background in a top-tier product, startup, frontier-lab, or consulting environment, or a credible self-built equivalent.
• Experience operating in hybrid onshore/offshore delivery teams.
• Familiarity with security, privacy, and compliance considerations for enterprise AI deployment.

Details

• Location: Prestige Technology Park IV, Bangalore.
• Work mode: Hybrid.
• Work shift: Day Job (India).
• Job type: Regular.