Senior Agentic AI Architect for Enterprise AI Systems

Capgemini

Chicago (IL)

On-site

USD 75,000 - 120,000

Full time

8 days ago
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Benefits offered by this job

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

Job summary

Capgemini in Atlanta, GA seeks an Agentic AI Architect to lead enterprise-scale AI solutions, defining architecture, guiding development teams, and ensuring secure, scalable AI systems that leverage LLMs, multi-agent frameworks, and enterprise integrations.

The ideal candidate combines deep expertise in AI/ML, software architecture, and enterprise solution design, with a proven track record of delivering production-grade AI systems and leading technical teams.

Qualifications

  • Experience delivering enterprise AI systems.
  • Strong background in architecture and design patterns.
  • Proven track record with LLM-driven solutions.

Responsibilities

  • Define end-to-end architecture for enterprise Agentic AI solutions.
  • Design and implement scalable agent frameworks and integrations.
  • Lead the development of LLM-driven solutions across platforms (Azure OpenAI, OpenAI, Anthropic).
  • Architect and implement RAG pipelines and knowledge systems.
  • Establish AI governance, security, and Responsible AI controls.
  • Drive enterprise integration with CRM, ERP, APIs, and data platforms.
  • Provide technical leadership and mentorship across engineering teams.
  • Collaborate with stakeholders to translate requirements into technical roadmaps.
  • Evaluate emerging AI technologies to drive innovation and cost efficiency.

Skills

AI/ML expertise
Software architecture
Enterprise solution design
Leadership & mentoring

Tools

LangChain
Semantic Kernel
AutoGen
CrewAI
Azure OpenAI
OpenAI
Anthropic

Job description

Capgemini in Atlanta, GA seeks an Agentic AI Architect to lead enterprise-scale AI solutions, defining architecture, guiding development teams, and ensuring secure, scalable AI systems that leverage LLMs, multi-agent frameworks, and enterprise integrations.

The ideal candidate combines deep expertise in AI/ML, software architecture, and enterprise solution design, with a proven track record of delivering production-grade AI systems and leading technical teams.

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