Capgemini Invent - AI Solutions Architecture & Engineering Senior Consultant

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend strategic, creative, and scientific capabilities, collaborating closely with clients to deliver cutting‑edge solutions that are informed by science and data, super‑powered by creativity and design, and underpinned by purposeful technology.

About the role

The Data Driven Transformation (DDT) team makes AI work at scale by combining data science, engineering, and business consulting. We build context‑driven analytics and GenAI/agentic systems that reflect real‑world decision and work flows—grounded in semantic layers, strong data foundations, and embedded governance. As an AI Solutions & Engineering Senior Consultant, you will own defined technical workstreams and deliver end‑to‑end AI solution components within an established architecture, making independent technical decisions and ensuring solutions are robust, governed, and production‑ready.

Responsibilities

• Design and implement end‑to‑end AI solution components within a defined architecture.
• Build governed agentic workflows, inference pipelines, and API layers.
• Make independent technical decisions and explain them to client engineers.
• Apply evaluation‑driven development and testing practices.
• Contribute to architecture documentation and reusable accelerators.

Requirements

• 5–6 years of experience in software or AI/ML engineering.
• Strong hands‑on experience with large language model (LLM) systems, including retrieval‑augmented generation (RAG), function calling, and agents.
• Experience with orchestration frameworks and vector databases.
• Solid knowledge of cloud deployment, monitoring, and security.
• Ability to operate independently on client workstreams.
• Strong AI literacy covering core and generative AI concepts, and the ability to identify AI‑enabled opportunities that improve business outcomes.
• Experience collaborating across strategy, technology, data, and design to enable AI‑driven solutions.
• Understanding of responsible AI principles such as ethics, privacy, security, and governance.
• Curiosity and a continuous‑learning mindset around emerging AI capabilities and their practical application.

Pay

Base compensation range: $105,600 – $199,480. In addition to base salary, the role may be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Benefits

• Paid time off based on employee grade (A‑F): 12–25 vacation days, plus company‑paid holidays, personal days, and 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.
• Additional benefits as provided by local policy and eligibility.