AI Architect - Copilot & Agentic AI

Atos • Irving, SD

31d • $105,000 - $135,000

About The Position

Atos is seeking an experienced AI Architect to lead enterprise AI and Copilot transformation initiatives. The role focuses on defining enterprise agentic AI architecture and roadmaps, establishing architecture standards and governance, and enabling adoption of Microsoft and GitHub Copilot. The architect will design solutions spanning large language models, frameworks, vector databases, cloud deployments, and Responsible AI practices.

The position also leads the design and orchestration of autonomous agent workflows, including enterprise guardrails, prompt libraries, integrations, and productivity measurement. It supports Copilot-driven engineering acceleration and agent-assisted testing, and owns enterprise prompt strategy and reusable prompt frameworks. The role includes governing RAG pipelines and multi-turn agent orchestration, with hands-on Python guidance, reference implementations, and integration patterns.

Requirements

• Proven experience as an AI Architect defining enterprise AI architecture, standards, and governance.
• 10+ years of architecture experience.
• 3+ years of experience in AI solutions.
• Hands-on experience implementing Microsoft/GitHub Copilot.
• Hands-on experience designing and building agent-based approaches and autonomous workflows.
• Strong expertise in prompt engineering, including zero-shot, few-shot, and chain-of-thought prompting.
• Strong Python development experience and ability to guide teams with reference implementations.
• Experience with RAG, vector databases, and cloud deployments.
• Practical experience with GitHub Copilot adoption patterns, including guardrails, prompt library management, extensions, and metrics.

Nice To Haves

• Experience designing enterprise Copilot/AI adoption frameworks, including change management and champion models.
• Experience building Copilot-led accelerators for engineering productivity and rapid prototyping.
• Knowledge of AI governance requirements and productionization practices.

Responsibilities

• Define solution architecture and target-state roadmaps for enterprise agentic AI programs.
• Establish AI architecture standards, reference patterns, and governance guidelines for adoption at scale.
• Design architectures across LLMs and frameworks, vector databases, and cloud deployments, incorporating Responsible AI practices.
• Architect and enable autonomous agent workflows using GitHub Copilot, including multi-step orchestration and enterprise guardrails.
• Define frameworks for prompt libraries, guardrails, extensions and integrations, and Copilot productivity metric tracking.
• Develop repeatable implementation approaches and best practices for Copilot-based engineering interventions and productivity tracking.
• Enable Copilot-driven acceleration from design artifacts, such as Figma requirement sheets, to boilerplate code and supporting assets where applicable.
• Establish patterns for agent-assisted testing and roadmaps toward autonomous testing, including test-case generation, script automation, and regression maintenance where feasible.
• Own enterprise prompt strategy, including prompting techniques and prompt governance.
• Create reusable prompt frameworks, cookbooks, templates, and standards.
• Architect and govern RAG pipelines, knowledge-grounding approaches, and multi-turn agent orchestration using LangChain or equivalent frameworks.
• Provide hands-on Python implementation guidance, reference implementations, and integration patterns.

Benefits

• Wellbeing programs and work-life balance initiatives, including integration and passion-sharing events.
• Opportunities for professional growth and career advancement.
• Benefits platform covering culture, shopping, sport, and other offerings.
• Continuous learning programs and online courses.
• Possibility to participate in charity and eco initiatives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed