Capgemini Invent, Senior Consultant, AI Engineer
About The Position
Capgemini Invent’s Data Driven Transformation team helps organizations realize the value of data and AI through data-centric strategies, modern operating models, and AI-enabled solutions. The team combines expertise in Data & AI Advisory, Data Platforms & Architecture, and Applied Data Fusion, working from strategy through execution. The Senior Consultant, AI Engineer owns technical workstreams and delivers end-to-end AI components within an established architecture. The role involves designing AI components, building governed agentic workflows, inference pipelines, and APIs, making independent technical decisions, applying evaluation-driven development, and creating reusable accelerators. The position calls for strong AI literacy and the ability to collaborate across strategy, technology, data, and design to develop responsible AI solutions that support client transformation and business outcomes.
Requirements
- 5–6 years of experience in software or AI/ML engineering.
- Experience with LLMs, RAG, function calling, and agents.
- Experience with orchestration frameworks and vector databases.
- Knowledge of cloud deployment, monitoring, and security.
- Ability to operate independently with clients.
- Strong AI literacy, including core AI and generative AI concepts and their application to enterprise transformation.
- Experience working in AI-augmented ways to enhance research, analysis, and solution development.
- Ability to collaborate across strategy, technology, data, and design.
- Understanding of responsible AI principles, including ethics, privacy, security, and governance.
- Curiosity and a continuous-learning mindset regarding emerging AI capabilities and their practical application in client environments.
Responsibilities
- Own technical workstreams and deliver end-to-end AI components within an established architecture.
- Design end-to-end AI components.
- Build governed agentic workflows, inference pipelines, and APIs.
- Make independent technical decisions.
- Apply evaluation-driven development.
- Build reusable accelerators.
- Identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness.
- Collaborate across strategy, technology, data, and design to enable AI-driven solutions.
- Apply responsible AI principles, including ethics, privacy, security, and governance.
Benefits
- Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave, according to policy.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans, such as 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs.
- Other benefits as provided by local policy and eligibility.
- Role may be eligible for variable incentives, bonuses, or commissions, depending on position and applicable laws.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
