Capgemini

Capgemini Invent - AI Solutions Architecture & Engineering Senior Consultant

$106K–$199KFull-time · Chicago, IL
✓ Verified live on the employer's own system · added 27 days ago
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Senior

Skills & tools

Data AnalysisMachine LearningOperationsRest ApisRecordkeepingSecurity
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Full job description

At Capgemini Invent, our Data Driven Transformation (DDT) team makes AI work at scale by combining data science and engineering with business consulting. We build context-driven analytics and GenAI/agentic systems that reflect how decisions and work actually happen-grounded in semantic layers, strong data foundations, and governance embedded in decision flows.

With a builder-advisor ("forward deployed") mindset, DDT delivers production-ready impact across operations and customer domains, redefining what enterprise AI advisory looks like in practice.

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. You will make independent technical decisions, engage directly with client engineering teams, and help ensure AI solutions are robust, governed, and ready for production use.

- 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

- Contribute to architecture documentation and reusable accelerators

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.

- Strong hands-on experience with LLM systems (RAG, function calling, agents)

- Experience with orchestration frameworks and vector databases

- Solid cloud deployment, monitoring, and security knowledge

The base compensation range for this role in the posted location is: $105,600 - $199,480.

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