AI Engineer
Job Description
Capgemini Invent’s Data Driven Transformation (DDT) team is evolving consulting engagements to be AI-enabled by design, combining human judgment with analytics, automation, and generative AI.
Your responsibilities
- Build and deploy defined AI components within a broader architecture for AI-enabled consulting engagements
- Create AI pipelines, prompts, and agent workflows
- Implement RAG, tool-calling, and basic agent capabilities
- Write clean Python and SQL for AI-related systems
- Support proofs of concept, including benchmarks as part of evaluation
- Document AI designs and join client technical sessions
What you bring
- Strong AI literacy, including core AI and generative AI concepts, with understanding of how they apply to enterprise transformation
- Ability to identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness
- Experience working in AI-augmented ways of working to enhance research, analysis, and solution development
- Collaboration experience across strategy, technology, data, and design to deliver AI-driven solutions
- Solid understanding of responsible AI principles, including ethics, privacy, security, and governance
- Curiosity and continuous learning mindset around emerging AI capabilities and practical application in client environments
- 3–5 years in software, data, or AI engineering
- Experience with Python, SQL, APIs, and cloud
- Exposure to LLM, prompting, RAG, and agents
- Familiarity with AWS, GCP, or Azure
- Strong engineering fundamentals
Technologies you will work with
- Python, SQL, API, cloud
- LLM, RAG
- AWS, GCP, Azure
Location and compensation
- Location: Atlanta, GA (onsite)
- Salary: USD 110,000 - 137,500 per year
- Minimum experience: 3 years
Benefits
- Paid time off based on employee grade (A-F), per 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