Lead AI Engineer 4D

Lead AI Engineer Ready to turn bold ideas into real-world impact?  At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory , our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI , our breakthrough solutions tackle companies’ most complex challenges.   If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.    Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.  Get to know us at genpact.com and on LinkedIn , YouTube , X , and Facebook .

Responsibilities Build, test, and deploy MCP (Model Context Protocol) servers that give Claude access to enterprise systems Author and publish Claude skills and plugins for workflows across Engineering, Operations, Finance, and other business units Write and maintain system prompts, CLAUDE.md files, and organizational AI context that shape how Claude behaves Configure and administer Claude Code and Cowork deployments for engineering and business teams Build connectors to internal data sources, SharePoint libraries, Confluence spaces, and third-party APIs Iterate on implementations based on real usage — fix what doesn't work, improve what does Build custom Copilot Studio agents and copilots tailored to workflows Develop Copilot connectors and plugins that surface internal data within M365 Copilot Extend M365 Copilot capabilities using Microsoft Graph API, Power Automate, and SharePoint connectors Configure Copilot experiences in Teams, Outlook, Word, and Excel for targeted business units Build Declarative Agents and API plugins using OpenAPI specs for enterprise system access Deploy and configure AWS Kiro for engineering teams Write Kiro hooks, spec files, and steering configurations that align AI coding assistance with standards and patterns Integrate Kiro into existing CI/CD pipelines and code review workflows Build reusable templates and patterns that accelerate developer onboarding to Kiro Coordinate with engineering leads to identify and prioritize high-value use cases Wire AI platforms to enterprise systems (ServiceNow, Jira, Salesforce, Workday, Veeva, Snowflake) via REST APIs, webhooks, and MCP Build automation workflows that connect AI-generated outputs to downstream business actions Maintain integration code in GitHub with proper versioning, branching, and documentation Debug and remediate broken integrations; monitor pipelines and respond to failures Monitor AI tool usage, API costs, token consumption, and performance across all platforms Manage authentication credentials, API keys, and OAuth app registrations for AI services Apply platform updates, configuration changes, and patches as tools evolve Maintain runbooks and troubleshooting guides so issues get resolved fast Track and report on adoption metrics and usage patterns Embed with business and engineering teams to understand their actual workflows, not just their stated requirements Build the specific tools, templates, and configurations that unlock productivity — not slide decks about it Rapidly prototype, test, and iterate; ship working solutions over perfect ones Write clear technical documentation for everything you build software engineering, integration