AI Solutions Architect: Enterprise Agentic AI on Azure

Capgemini Invent

San Francisco (CA)

On-site

USD 180,000 - 205,000

Full time

17 hours ago
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Benefits offered by this job

Medical coverage
401(k) plan
Paid time off

Job summary

Capgemini Invent is seeking an AI Solution Architect to lead design, architecture, and delivery of enterprise AI solutions with a focus on agentic AI systems built on Azure AI Foundry. This hands-on role requires building prototypes, POCs, and reference implementations while guiding architecture decisions across product, engineering, and data teams.

You will design end-to-end solutions, including agent design, orchestration patterns, and non-functional requirements, translating business needs

Qualifications

  • 10+ years of experience in Solution Architecture.
  • 2+ years of experience designing and delivering Generative AI, AI-powered, or agent-based solutions in production.
  • Proven experience architecting and implementing multi-agent systems, AI copilots, or agentic workflows.
  • Hands-on experience developing AI agents and orchestration workflows using Azure AI Foundry and Python.

Responsibilities

  • Lead end-to-end architecture for enterprise AI solutions with agentic workflows.
  • Define architecture standards and facilitate design reviews with cross-functional teams.
  • Develop prototypes and POCs to validate architecture decisions and business value.
  • Provide executive demonstrations and ensure alignment between business objectives and implementation.

Skills

Solution Architecture
Generative AI
Multi-agent systems
Cloud-native design
Stakeholder management

Tools

Azure AI Foundry
Python
Azure OpenAI
Kubernetes
Docker
GitHub
REST APIs
CI/CD pipelines

Job description

Capgemini Invent is seeking an AI Solution Architect to lead design, architecture, and delivery of enterprise AI solutions with a focus on agentic AI systems built on Azure AI Foundry. This hands-on role requires building prototypes, POCs, and reference implementations while guiding architecture decisions across product, engineering, and data teams.

You will design end-to-end solutions, including agent design, orchestration patterns, and non-functional requirements, translating business needs

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