Senior AI Engineer for Enterprise Data & GenAI

Capgemini Invent

Chicago (IL)

On-site

USD 150,000 - 165,000

Full time

8 hours ago
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Benefits offered by this job

Paid time off
Medical, dental, and vision
Retirement savings plans
Life and disability insurance
Employee assistance programs
Other benefits

Job summary

Capgemini Invent is seeking a seasoned AI/ML engineer to own technical workstreams and deliver end-to-end AI components within an established architecture. You will design end-to-end AI components, build governed agentic workflows and APIs, and make independent technical decisions in collaboration with strategy, technology, data, and design teams.

The role requires 5–6 years in software or AI/ML engineering, experience with LLMs, RAG, function calling, orchestration frameworks, vector databases,

Qualifications

  • Strong AI literacy with core AI and generative AI concepts.
  • Ability to apply AI capabilities to enterprise transformation and delivery.
  • Experience working in AI-augmented ways of working to enhance research and solution development.
  • Collaboration across strategy, technology, data, and design to enable AI-driven solutions.

Responsibilities

  • 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.

Skills

AI literacy
GenAI concepts
LLM experience
RAG
Function calling
Client-facing

Tools

Orchestration framework
Vector database
Cloud deployment
Security knowledge

Job description

Capgemini Invent is seeking a seasoned AI/ML engineer to own technical workstreams and deliver end-to-end AI components within an established architecture. You will design end-to-end AI components, build governed agentic workflows and APIs, and make independent technical decisions in collaboration with strategy, technology, data, and design teams.

The role requires 5–6 years in software or AI/ML engineering, experience with LLMs, RAG, function calling, orchestration frameworks, vector databases,

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