Partner with Architecture, Engineering, Product, Data Science, and business stakeholders to deliver scalable AI solutions.
Define and govern AI quality frameworks including evaluation harnesses, benchmark testing, gold datasets, hallucination reduction, and continuous validation.
Drive adoption of LLMOps and MLOps practices for model deployment, monitoring, observability, and optimization.
Measure and communicate business outcomes including adoption, productivity improvements, model performance, and ROI.
Review technical designs and architecture decisions to ensure production-grade AI implementations.
Drive Agile program execution, release planning, and continuous improvement initiatives.
Collaborate with teams to accelerate enterprise AI adoption and innovation.
Your Skills and Experience
At least 10+ years of experience in Technical Program Management, Software Delivery, Digital Transformation, or Enterprise Technology Programs.
Proven recent experience leading large-scale AI/GenAI programs from strategy through production deployment.
Strong hands-on experience with Generative AI, Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), and Agentic AI solutions.
Experience designing and delivering AI Agents, autonomous workflows, and AI-native applications.
Strong expertise in Context Engineering, Prompt Engineering, and semantic search architectures.
Experience with Vector Databases, embeddings, retrieval systems, and enterprise knowledge platforms.
Strong understanding of LLMOps, MLOps, AI observability, performance monitoring, and model lifecycle management.
Experience implementing AI evaluation frameworks, benchmark testing, model validation, and hallucination reduction strategies.
Strong knowledge of Azure AI, Azure OpenAI, cloud-native architectures, APIs, and enterprise integration patterns.
Strong understanding of AI governance, responsible AI practices, security, compliance, and risk management.
Excellent executive stakeholder management, communication, presentation, and leadership skills.
Experience working in Agile, Scrum, or SAFe delivery environments.
PMP, SAFe, Agile, Cloud, or AI-related certifications are preferred.
Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.
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The base compensation range for this role in the posted location is $109,180 to $197,175
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.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Ref. code
576872
Posted on
Oct 30, 2026
Experience Level
Experienced Professionals
Contract Type
Permanent
Location
Irving, TX, US
Brand
Capgemini
Professional Community
Delivery Excellence
Nearest Major Market: Irving
Nearest Secondary Market: Dallas
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