Senior Forward-Deployed AI Engineer

Capgemini Invent

Chicago (IL)

On-site

USD 101,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Paid time off (12–25 days)
Health, dental, vision benefits
401(k) retirement plan

Job summary

Capgemini Invent in the United States is seeking a Forward Deployed Engineer Senior Consultant to own embedded technical workstreams and deliver production‑grade AI solutions within complex client environments.

You will mentor consultant‑level teammates, build AI workflows and data pipelines with Python and SQL, and collaborate with client engineers, data leads and project managers to ensure usable, well‑documented outcomes and platform adoption.

Qualifications

  • 5–6 years in forward‑deployed, embedded, or client‑facing engineering roles.
  • Production‑level Python and SQL experience building and maintaining data pipelines.
  • Hands‑on experience configuring Palantir Foundry (ontologies, pipelines, applications) or equivalent enterprise platforms.
  • Ability to work independently in ambiguous client environments and self‑manage delivery.
  • Track record of delivering working software that client teams adopt and use.

Responsibilities

  • Own embedded technical workstreams from requirements through deployed output.
  • Build and maintain AI workflows, pipelines, and platform configurations used by client teams.
  • Partner closely with client engineers, data leads, and technical project managers.
  • Drive platform adoption through pairing, enablement, and documentation.
  • Mentor Consultant‑level team members on delivery quality and client engagement.

Skills

Python
SQL
AI literacy
Independent work
Client-facing delivery

Tools

Palantir Foundry

Job description

Capgemini Invent in the United States is seeking a Forward Deployed Engineer Senior Consultant to own embedded technical workstreams and deliver production‑grade AI solutions within complex client environments.

You will mentor consultant‑level teammates, build AI workflows and data pipelines with Python and SQL, and collaborate with client engineers, data leads and project managers to ensure usable, well‑documented outcomes and platform adoption.

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