Technical Project Manager (Work with AI tools)

Capgemini • Atlanta, GA

9d • $82,082 - $193,440

About The Position

Capgemini is seeking an execution-driven Technical Project Manager with strong Systems Integration (SI) delivery experience to lead complex technology engagements. The role calls for a hands-on leader who can take ownership of programs, drive recovery, enforce accountability, and proactively address delivery challenges across global teams. The successful candidate will bring experience delivering SI engagements and managing custom-developed enterprise applications, including onshore-offshore execution.

The Technical Project Manager owns end-to-end delivery and outcomes, identifies opportunities to apply AI and automation to business workflows, and uses AI-led approaches for program governance and reporting. The role requires identifying issues early and taking corrective action, managing team performance, and addressing delivery challenges involving distributed teams, requirements, communications, time zones, dependencies, quality, and accountability. The position also involves hands-on leadership of engineering teams, stakeholder communications and escalations, and collaboration with security, privacy, and legal teams on data handling and responsible AI requirements.

The role can be based at a Capgemini hub in Atlanta, GA; New York; Chicago, IL; Nashville, TN; or Dallas, TX. The posted base compensation range is $82,082 to $193,440. The role may also be eligible for variable incentives, bonuses, or commissions. Benefits for regular full-time employees may include paid time off, company holidays, personal days, sick leave, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs, subject to local policy and eligibility.

Requirements

• 10+ years of experience in Technical Project Management and/or Delivery Management roles.
• Systems Integration (SI) experience with proven delivery ownership is mandatory.
• Proven track record of turning around challenging projects.
• Strong experience managing custom-developed enterprise applications in Java, .NET, or cloud ecosystems, including overseeing AI pilots and implementations.
• Strong experience managing global onshore-offshore delivery teams.
• Demonstrated ability to use AI for execution, governance, and reporting, and to evaluate AI outputs for accuracy, reliability, and business usefulness.
• Strong understanding of the software development lifecycle (SDLC), delivery lifecycle, and engineering workflows.
• Experience handling performance management and delivery escalations.
• Working knowledge of Generative AI and Large Language Models (LLMs), including their capabilities and limitations.

Responsibilities

• Own end-to-end delivery, with clear accountability for execution and outcomes.
• Identify and prioritize opportunities to apply AI and automation to business workflows.
• Drive programs through structured plans and decisive actions using an AI-first mindset, including AI-led program governance and reporting.
• Identify delivery issues early and take proactive corrective action.
• Manage team performance, address underperformance, and make difficult decisions when required.
• Lead delivery in a Systems Integrator context, balancing priorities across clients, stakeholders, and engineering teams.
• Resolve delivery challenges involving communication gaps, unclear requirements, time-zone and dependency misalignment, and quality and accountability issues in distributed teams.
• Work closely with engineering teams in custom application environments and manage interdependencies across systems.
• Provide hands-on technology team leadership, beyond stakeholder coordination.
• Lead stakeholder communications, escalations, and decision-making with a focus on resolution and action.
• Partner with security, privacy, and legal teams on data handling and responsible AI requirements.

Benefits

• Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave, subject to policy.
• Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
• Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed