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Technical Delivery Manager – AI & Cloud Platforms

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Hybrid

Technical Delivery Manager – AI & Cloud Platforms

Capgemini

Technical Delivery Manager – AI & Cloud Platforms

Skills

AIAWSGitHubKubernetesJiraConfluence

10 days ago

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Important information


Contract type:

Permanent

Salary:

$130,000 – $165,000 / year

Location:

Boston, MA, USA

Work mode:

Hybrid

Published on:

16 October 2026

What they need


Capgemini is seeking an experienced Technical Delivery Manager – AI & Cloud Platforms to lead the delivery of a greenfield enterprise technology initiative focused on building secure, modern platforms supporting artificial intelligence and emerging AI capabilities.

This role will lead a cross-functional application development team and drive delivery from initial development through production readiness. The ideal candidate combines strong technical delivery leadership with the ability to manage complex client relationships, remove roadblocks, coordinate engineering teams, and ensure critical milestones are achieved.

Deep hands-on AI engineering expertise is not required. However, candidates should have sufficient technical knowledge to effectively lead application development teams and work across cloud, engineering, security, data, and AI-related initiatives.

Key Responsibilities

  • Lead end-to-end delivery of a greenfield enterprise technology initiative from development through production readiness.
  • Lead and coordinate a cross-functional application development and engineering team.
  • Own delivery plans, Agile ceremonies, milestones, dependencies, risks, issues, and status reporting.
  • Coordinate technical work across application development, cloud platforms, APIs, integrations, data, security, testing, and related platform services.
  • Remove delivery roadblocks and drive issues to timely resolution.
  • Partner closely with client stakeholders and technical teams to manage expectations, priorities, risks, and delivery commitments.
  • Manage challenging delivery situations through effective communication, negotiation, escalation, and problem solving.
  • Coordinate staffing, onboarding, resource allocation, and team continuity.
  • Support production readiness activities including testing, security, monitoring, documentation, and operational handover.
  • Ensure delivery aligns with established architecture, security, governance, and data-handling requirements.
  • Provide clear delivery updates to business, technical, and executive stakeholders.
  • Work effectively with engineering teams and provide technical leadership and support when appropriate.

Required Qualifications

  • 6+ years of experience in technology delivery, technical program management, application development leadership, engineering leadership, or a related field.
  • Proven experience leading application development or software engineering teams and complex technical delivery initiatives.
  • Experience delivering greenfield technology initiatives from planning and development through implementation or production.
  • Strong understanding of Agile software delivery and the software development lifecycle.
  • Technical understanding of modern cloud and application environments, including areas such as AWS, APIs, Kubernetes, GitHub, CI/CD, data, security, testing, and observability .
  • Demonstrated ability to manage timelines, dependencies, risks, resources, and delivery commitments.
  • Strong client-facing and stakeholder-management skills.
  • Ability to communicate effectively with engineering teams, business stakeholders, and senior leadership.
  • Demonstrated ability to manage challenging delivery situations, negotiate priorities, resolve issues, and drive teams toward successful outcomes.

Preferred Qualifications

  • Experience delivering Generative AI, Agentic AI, enterprise AI platforms, or similar emerging technology initiatives .
  • Familiarity with secure enterprise AI environments or sandbox/platform implementations.
  • Experience within financial services, capital markets, asset management, or another regulated industry .
  • Experience with Jira, Confluence, or comparable delivery-management tools.
  • Relevant Agile, project management, cloud, or AI certifications.
  • Bachelor's degree in computer science, engineering, information technology, or a related discipline.

Location

This is a hybrid position requiring onsite presence in one of the following markets:

  • Dallas/Westlake, Texas
  • Durham, North Carolina
  • Burlington/Boston, Massachusetts

Work Authorization

Applicants must be authorized to work in the United States without the need for current or future employment visa sponsorship.

How to Apply

For best consideration, please apply directly through the Capgemini applicant tracking system using the application link provided with this posting.

About Capgemini:

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.

Make it real | www.capgemini.com

Life at Capgemini:

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  • Flexible work

  • Healthcare including dental, vision, mental health, and well-being programs

  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan

  • Paid time off and paid holidays

  • Paid parental leave

  • Family building benefits like adoption assistance, surrogacy, and cryopreservation

  • Social well-being benefits like subsidized back-up child/elder care and tutoring

  • Mentoring, coaching and learning programs

  • Employee Resource Groups

  • Disaster Relief

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