About the Job You're Considering
As AI reshapes how organizations operate, compete, and create value, we are evolving our consulting model to be AI-enabled by design, augmenting human judgment with analytics, automation, and generative AI. Our teams are looking for consultants who are not only strong problem solvers, but who are excited to work differently in an AI-first world: curious, adaptable, and ready to help clients reimagine how work gets done.
At Capgemini Invent, the Data Driven Transformation (DDT) team helps organizations unlock the full value of their data and AI investments to drive meaningful, scalable change. As part of Capgemini's Strategy & Transformation Consulting practice, DDT partners with clients to shape data-centric strategies, modern operating models, and AI-enabled solutions that deliver measurable business outcomes. Our unified team model brings together expertise across Data & AI Advisory, Data Platforms & Architecture, and Applied Data Fusion, enabling seamless collaboration from strategy through execution.
Your Role
You will build and deploy defined AI components within a broader architecture.
Key responsibilities include:- Build AI pipelines, prompts, and agent workflows.
- Implement RAG, tool-calling, and basic agents.
- Write clean Python and SQL.
- Support proofs of concept and benchmarks.
- Document designs and join client technical sessions.
Your Skills + Experience
You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able to identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness, and you have experience working in AI-augmented ways of working to enhance research, analysis, and solution development. You collaborate effectively across strategy, technology, data, and design to enable AI-driven solutions, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance. You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.
Required Experience:- 3-5 years in software, data, or AI engineering.
- Python, SQL, API, and cloud experience.
- Exposure to LLM, prompting, RAG, and agents.
- Familiarity with AWS, GCP, or Azure.
- Strong engineering fundamentals.
The base compensation range for this role in the posted location is: $110,000-$137,500
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.
