Capgemini

AI Delivery Lead - Copilot & Agentic AI Solutions

Capgemini$125K — $140K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, IT, Engineering, Business, or related field.
  • Hands-on experience with Microsoft Copilot Studio, including design and deployment.
  • Strong expertise in Power Automate for workflow automation and process orchestration.
  • Experience creating RAG architectures using SharePoint and Microsoft Graph.
  • Proven ability to develop reusable prompt architectures.
  • Experience defining MCP and enterprise integration strategies.
  • Strong understanding of governance, security controls, and compliance in enterprise settings.
  • Demonstrated experience leading AI or digital transformation programs in large enterprises.

Responsibilities

  • Lead end-to-end delivery of AI agent solutions while managing scope and timelines.
  • Design and implement Copilot solutions, focusing on architecture and deployment.
  • Architect RAG solutions using enterprise repositories and connectors.
  • Develop reusable frameworks and best practices for AI deployments.
  • Execute MCP and connector integration strategies across workflows.
  • Design Power Automate workflows for agent orchestration and automation.
  • Ensure compliance and security through enterprise access controls and data management.
  • Coordinate UAT and SME validations to ensure solution quality and adoption.
  • Serve as the primary interface between program leadership and delivery teams.

Benefits

  • Paid time off including vacation, personal days, and sick leave based on employee grade.
  • Comprehensive medical, dental, and vision coverage.
  • Retirement savings plans (e.g., 401(k) in the U.S.).
  • Life and disability insurance offerings.
  • Employee assistance programs to support well-being.
Full Job Description
Job Location : New York, NY (Onsite/Hybrid from Day 1)

Job Description

We are seeking an experienced AI Delivery Lead to drive the end-to-end delivery of AI-powered Copilot agents and automation solutions within the COO and PMO functions. This role combines delivery leadership with hands-on solution architecture, ensuring successful deployment of agentic AI solutions built on Microsoft Copilot Studio, Power Platform, and Microsoft AI technologies. The successful candidate will act as the primary liaison between business stakeholders, technology teams, and delivery partners while ensuring solutions are scalable, secure, and aligned with business objectives.

Key Responsibilities

  • Lead the end-to-end delivery of AI agent solutions, managing scope, timelines, risks, dependencies, and stakeholder expectations.
  • Design and implement Copilot Studio solutions, including prompt architecture, agent configuration, testing, and deployment.
  • Architect Retrieval-Augmented Generation (RAG) solutions leveraging SharePoint, Microsoft Graph, enterprise repositories, and custom connectors.
  • Develop reusable prompt frameworks, templates, and best practices to drive consistency across AI deployments.
  • Define and execute MCP (Model Context Protocol) and connector integration strategies across enterprise applications and workflows.
  • Design and implement Power Automate workflows to support agent orchestration and business process automation.
  • Ensure governance, security, and compliance through Entra ID integration, enterprise access controls, and data boundary enforcement.
  • Coordinate business reviews, user acceptance testing (UAT), and SME validation to ensure solution quality and adoption.
  • Partner with business leaders, architects, product owners, and engineering teams to translate requirements into scalable AI solutions.
  • Serve as the primary delivery interface between program leadership and delivery teams.


Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or a related field.
  • Hands-on experience with Microsoft Copilot Studio, including agent design, configuration, testing, and deployment.
  • Strong expertise in Power Automate, including workflow automation, approvals, exception handling, and process orchestration.
  • Experience designing and implementing RAG architectures using SharePoint, Microsoft Graph, enterprise content repositories, and custom connectors.
  • Proven ability to develop reusable prompt architectures and prompt engineering frameworks.
  • Experience defining and implementing MCP and enterprise integration strategies.
  • Strong understanding of governance, Entra ID, security controls, access management, and compliance requirements.
  • Demonstrated experience leading AI, automation, or digital transformation programs in large enterprise environments.
  • Excellent stakeholder management, communication, and delivery leadership skills.


Preferred Qualifications

  • Experience delivering AI solutions within banking, wealth management, capital markets, or other highly regulated industries.
  • Familiarity with COO, PMO, operational excellence, or enterprise transformation functions.
  • Microsoft certifications in Power Platform, Copilot Studio, Azure AI, or related technologies.
  • Experience working within vendor-led or managed services delivery models.
  • Knowledge of Microsoft Graph APIs, Power Platform governance, and enterprise AI adoption frameworks.


The base compensation range for this role in the posted location is:125786- 140296

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

About Capgemini

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The company is headquartered in Paris, France and operates in over 50 countries. Capgemini provides a range of services including strategy and transformation, application services, technology services, and engineering services. The company serves clients in a variety of industries including automotive, consumer products, financial services, healthcare, and retail.
Learn more about Capgemini
Industry
Founded
1967
NASDAQ

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