at Capgemini
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**V&V Engineer - AI-Driven Testing & Validation** Lead AI quality engineering (10+ yrs exp). Validate enterprise AI and Generative AI systems, including LLM-powered apps, RAG pipelines, and agentic workflows. Define AI testing strategies, automate evaluation with Python, integrate into CI/CD pipelines. Work with TensorFlow, PyTorch, LangChain, and LangGraph. Good to have: AI safety, bias detection, MLOps, LLMOps tools. Degree in CS or related field.
- Compensation
- $82,082 – $193,440 USD
- City
- Dallas
- Country
- United States
Currency: $ (USD)
Full Job Description
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Location
Dallas, TX
About the job you're considering
We are looking for a senior quality engineering leader to drive validation and testing of enterprise AI and Generative AI solutions, including LLMpowered applications and agentic workflows. This role will define and implement modern AI testing strategies across automation, model evaluation, data quality, and responsible AI, while partnering closely with AI engineering and product teams.
Your Role
- Lead endtoend quality engineering for enterprise AI and Generative AI systems, including LLMpowered applications, RAG pipelines, and agentic workflows.
- Design and execute prompt validation strategies, evaluating LLM outputs for accuracy, semantic relevance, hallucination risk, and safety compliance.
- Build automated AI model evaluation pipelines using metrics such as BLEU, ROUGE, embeddingbased similarity, precision, recall, and F1score.
- Validate agentic systems (tool usage, multistep reasoning, plannerexecutor workflows) for correctness, determinism, and failuremode handling.
- Architect and maintain Pythonbased automation frameworks for AI/ML model evaluation, regression testing, and continuous quality monitoring.
- Integrate AI testing into CI/CD pipelines to automatically evaluate model updates, prompt changes, and dataset revisions prior to release.
- Develop reusable test harnesses for prompt regression testing, goldenset evaluation, A/B model comparison, and humanintheloop review workflows.
- Perform data quality validation across training and inference pipelines using EDA, schema validation, and crossvalidation, while conducting bias and fairness analysis across demographic and contextual dimensions to ensure responsible AI outcomes.
- Drive model robustness testing through adversarial inputs, distributionshift detection, and edgecase stress testing, and establish regression testing standards for retraining and finetuning cycles to prevent model quality drift.
- Partner with AI engineers to validate solutions built on TensorFlow, PyTorch, LangChain, LangGraph, and LlamaIndex, while championing responsible AI principles including safety, transparency, explainability, and compliance with evolving AI governance standards
Your skills and Experience
- 10+ years of professional experience in Quality Engineering and Test Automation, validating complex enterprise applications.
- Proficient in validating AI/ML systems, including Generative AI and LLM-based applications with strong proficiency in Python and experience building automation frameworks.
- Working knowledge of AI evaluation metrics, including BLEU, ROUGE, embeddingbased similarity, precision, recall, F1score, and humanevaluation methodologies, with practical experience in prompt validation, agentic workflow testing, and endtoend AI model evaluation.
- Experience with AI/ML frameworks and ecosystems: TensorFlow, PyTorch, LangChain, LangGraph, and LlamaIndex.
- Experience integrating automated testing into CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI, Azure DevOps).
- Good to have familiarity with AI safety, bias detection, and fairness evaluation, along with experience in vector databases, RAG and embedding pipelines, MLOps and LLM observability tools (e.g., MLflow, Weights & Biases, LangSmith, Ragas, DeepEval, TruLens), cloud AI services on AWS/Azure/GCP, and AI governance frameworks and regulatory standards, supported by a Bachelors or Masters degree in Computer Science, Data Science, or a related technical field.
The base compensation range for this role in the posted location is: $82,082 - $193,440/year
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 Capgeminis 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.
