Senior AI Solutions Architect – Agentic AI on Azure Foundry

Capgemini; San Francisco, Seattle, Chicago (CA, WA, IL); Hybrid; USD 180,000 - 205,000; Full time

Benefits offered by this job

Paid time off

Medical/Dental/Vision insurance

401(k) retirement plan

Life and disability insurance

Employee assistance programs

Job summary

Capgemini Invent is seeking an AI Solutions Architect in San Francisco to lead design and delivery of enterprise AI solutions, focusing on agentic AI systems built on Azure AI Foundry. The role blends strategic architecture with hands-on development in Python, Azure cloud, and enterprise integrations.

You will drive end-to-end architecture, tool-calling patterns, memory management, and multi-agent workflows, partnering with product, data, and cloud teams to ensure secure, scalable

Qualifications

• 10+ years of experience in Solution Architecture.
• 2+ years of Generative AI or agent-based solutions in production.
• Experience with multi-agent systems or AI copilots.
• Hands-on AI agents, orchestration workflows with Python.
• End-to-end agentic solutions: tool calling, memory, enterprise integrations.

Responsibilities

• Lead design, architecture and delivery of enterprise AI solutions.
• Architect, orchestrate, and integrate AI agents and workflows.
• Translate business requirements into scalable, secure production systems.
• Create demos, POCs, and reference implementations to show value.
• Establish architecture standards and ensure alignment with objectives.

Skills

Solution architecture

Generative AI

Multi-agent systems

Azure AI Foundry

Python

Cloud architecture

LLMs & prompt engineering

APIs & microservices

Stakeholder management

Tools

Azure AI Foundry

Python

Docker

Kubernetes

GitHub

REST APIs

Job description

Capgemini Invent is seeking an AI Solutions Architect in San Francisco to lead design and delivery of enterprise AI solutions, focusing on agentic AI systems built on Azure AI Foundry. The role blends strategic architecture with hands-on development in Python, Azure cloud, and enterprise integrations.

You will drive end-to-end architecture, tool-calling patterns, memory management, and multi-agent workflows, partnering with product, data, and cloud teams to ensure secure, scalable