Senior AI Solutions Architect & Engineer — GenAI/LLM

PreSales Collective; Chicago (IL); On-site; USD 106,000 - 199,000; Full time

Benefits offered by this job

Vacation days 12–25

Health coverage

401(k) retirement plan

Life and disability insurance

Employee assistance programs

Job summary

Capgemini Invent under Capgemini is seeking an AI Solutions & Engineeering Senior Consultant to own defined technical workstreams and deliver end-to-end AI components. You will collaborate directly with client engineers to ensure robust, governance‑driven AI solutions ready for production.

You will design and implement end-to-end AI components, build agentic workflows, and contribute to architecture documentation while operating with independence on client projects in a fast-paced environment.

Qualifications

• 5–6 years in software or AI/ML engineering
• 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
• Ability to operate independently on client workstreams

Responsibilities

• Own defined technical workstreams and deliver end-to-end AI solution components
• 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

Skills

AI/ML engineering

LLM systems

Orchestration frameworks

Vector databases

Cloud deployment

Independent work

Job description

Capgemini Invent under Capgemini is seeking an AI Solutions & Engineeering Senior Consultant to own defined technical workstreams and deliver end-to-end AI components. You will collaborate directly with client engineers to ensure robust, governance‑driven AI solutions ready for production.

You will design and implement end-to-end AI components, build agentic workflows, and contribute to architecture documentation while operating with independence on client projects in a fast-paced environment.