Senior AI Architect: Copilot & Agentic AI Leader

Atos-North America; Irving (TX); On-site; USD 105,000 - 135,000; Full time

Benefits offered by this job

Wellbeing programs

Career growth

Culture platform

Continuous learning

Charity initiatives

Job summary

Atos seeks an experienced AI Architect to lead enterprise AI and Copilot initiatives. You will define architecture, governance, and adoption frameworks, and design autonomous workflows using Python, LangChain, and RAG technologies. The role requires 10+ years in architecture and 3+ years in AI projects, with hands-on Copilot deployment experience.

Expect to drive AI governance, standards, and best practices across the organization, shaping enterprise AI strategy and scalable deployments.

Qualifications

• 10+ years of solution/enterprise architecture experience.
• 3+ years of AI architecture and implementation experience.
• Experience implementing and scaling Microsoft/GitHub Copilot.
• Strong expertise in Agentic AI and autonomous workflows.
• Prompt Engineering (Zero-shot, Few-shot, Chain-of-Thought).
• Python development.
• RAG (Retrieval-Augmented Generation).
• Vector databases.
• Cloud-based AI deployments.
• Experience defining AI governance, standards, and best practices.

Responsibilities

• Define enterprise AI architecture, standards, and governance frameworks.
• Design and implement autonomous agent workflows and Copilot-driven solutions.
• Establish prompt engineering strategies, reusable prompt libraries, and guardrails.
• Architect RAG solutions and AI orchestration frameworks using Python and LangChain.
• Drive enterprise Copilot adoption, productivity measurement, and AI best practices.

Skills

Agentic AI

Autonomous workflows

Prompt engineering

Python development

RAG

Vector databases

Cloud AI deployments

AI governance

AI standards

AI adoption

Tools

LangChain

Copilot deployment

Job description

Atos seeks an experienced AI Architect to lead enterprise AI and Copilot initiatives. You will define architecture, governance, and adoption frameworks, and design autonomous workflows using Python, LangChain, and RAG technologies. The role requires 10+ years in architecture and 3+ years in AI projects, with hands-on Copilot deployment experience.

Expect to drive AI governance, standards, and best practices across the organization, shaping enterprise AI strategy and scalable deployments.