Genpact Limited

Lead AI Engineer 4D

Genpact Limited • $80K — $100K *
Atlanta, GA 30349In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-7 years of experience in software engineering, integration engineering, or platform engineering
  • Proficiency in Python and/or JavaScript/TypeScript
  • Experience with REST APIs, webhooks, and event-driven integrations
  • Demonstrated experience deploying AI tools in real environments
  • Familiarity with Microsoft 365 tools (SharePoint, Teams, Graph API, Power Platform)
  • Expertise in Git and GitHub for version control
  • Strong debugging and troubleshooting skills

Responsibilities

  • Build, test, and deploy Model Context Protocol servers for AI access
  • Author and publish AI skills and plugins for various business units
  • Maintain system prompts and organizational AI context for desired behavior
  • Configure and administer AI deployments for teams
  • Build connectors for internal data sources and third-party APIs
  • Iterate on implementations based on usage and feedback
  • Develop custom agents and plugins for workflow optimization

Benefits

  • Opportunity to work on cutting-edge AI technology
  • Collaborative environment with direct impact on business productivity
  • Involvement in cross-functional projects across different teams
  • Emphasis on rapid prototyping and iterative improvement
  • Access to advanced tooling and platform features like Microsoft Graph API
Full Job Description
Lead AI Engineer

Job Description
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 engineering, or platform engineering - with a track record of building and shipping things
  • Hands-on proficiency in Python and/or JavaScript/TypeScript
  • Experience building and consuming REST APIs, webhooks, and event-driven integrations
  • Demonstrated, practical experience deploying AI tools (LLMs, agents, or copilots) in a real environment - not just experimenting
  • Experience with the Microsoft 365 ecosystem: SharePoint, Teams, Graph API, and Power Platform
  • Git and GitHub proficiency - you version-control everything you build
  • Strong debugging and troubleshooting skills; you diagnose before you escalate


Qualifications

Certifications

Required Skills
Artificial Intelligence (AI)

Language
English

Language Proficiency -
Proficient - C2

Additional Job Location -

Job Type
Regular

Master Skill List -
Advanced Analytics / AI / ML

Remote Type -
Office

Work Shift -
Rotating (United States of America)

The approximate annual base compensation range for this position is:
80,000 to 100,000 USD

"Los Angeles California-based candidates are not eligible for this role"

The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity.

About Genpact Limited

Genpact is a global professional services firm that makes business transformation real. They drive digital-led innovation and digitally-enabled intelligent operations for their clients, guided by their experience running thousands of processes primarily for Global Fortune 500 companies. They think with design, dream in digital, and solve problems with data and analytics. Combining their expertise in end-to-end operations and their AI-based platform, Genpact Cora, they focus on the details ? all 90,000+ of them ? that make a real difference to their clients and the customers they serve.
Learn more about Genpact Limited
Size
96,500 employees
Market Cap
$8.1 billion
Industry
Business Services
Net Income
$308.2 million
5 Year Trend
+8.6%
Revenue
$3.7 billion
* Ladders Estimates

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