AI Architect - Copilot & Agentic AI

Atosis the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements.

With more than 54,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand.
A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts.

About Atos Group

Atos Groupis a global leader in digital transformation with c. 56,000 employees and annual revenue of c. 7.2 billion (at the go-forward perimeter), operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris.

We are seeking an experiencedAI Architect with 10+ years of architecture experience and 3+ years in AI solutions to lead enterprise AI and Copilot transformation initiatives. The ideal candidate will have hands-on experience implementing Microsoft/GitHub Copilot, designing agentic AI solutions, and establishing AI architecture, governance, and adoption frameworks at scale.

1) Architecture & Strategy (AI / Agentic AI)

* Define the overall solution architecture for enterprise agentic AI programs and create the target-state roadmap

* Establish AI architecture standards, reference patterns, and governance guidelines for adoption at scale.

* Design architecture across LLMs/frameworks, vector databases, and cloud deployments, including Responsible AI practices.

2) Autonomous Agent Design & Orchestration (Copilot-led)

* Architect and enable autonomous agent workflows using GitHub Copilot, including multi-step orchestration and enterprise guardrails.

* Define a framework for prompt libraries, guardrails, extensions/integrations, and productivity metric tracking for Copilot adopt

* Drive repeatable implementation approach and best practices for Copilot-based engineering interventions and productivity tracking

* Enable Copilot-driven acceleration from design artifacts (e.g., Figma requirement sheets) to boilerplate code and supporting assets, where applicable.

* Establish patterns for agent-assisted testing and a roadmap toward autonomous testing where feasible (e.g., test case generation, script automation, regression maintenance).

3) Prompt Engineering Excellence

* Own enterprise prompt strategy including Zero-shot / Few-shot / Chain-of-Thought prompting techniques and prompt governance.

* Create reusable prompt frameworks/cookbooks, templates, and standards for consistent outcomes across teams.

4) RAG + Model/Tool Orchestration (Python-led)

* Architect and govern RAG pipelines, knowledge grounding approaches, and multi-turn agent orchestration using frameworks such as LangChain (or equivalent).

* Provide hands-on guidance for implementation in Python, including reference implementations and integration patterns.

Requirements/Functional Skills:

* Proven experience as an AI Architect defining enterprise AI architecture, standards, and governance.

* Hands-on experience designing/building agent-based approaches and autonomous workflows.

* Strong expertise in Prompt Engineering (Zero/Few-shot, Chain-of-Thought) and prompt design.

* Strong Python development experience and ability to guide teams with reference implementations.

* Experience with RAGr, vector databases, and cloud deployments.

* Practical experience with GitHub Copilot adoption patterns including guardrails, prompt library management, extensions, and metrics

Preferred / Nice to Have

* Experience designing enterprise adoption frameworks for Copilot/AI with change management and champion models.

* Experience building Copilot-led accelerators for engineering productivity and rapid prototyping.

* Knowledge of AI governance requirements and productionization practices.

Rewards and benefits:

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

Career Path
At Atos, as a global leader in secure and decarbonized digital business technology, our purpose is to help design the future of the information space.
Together we bring the diversity of our people's skills and backgrounds to make the right choices with our clients, for our company and for our own futures.
At Atos, the future is our choice.
Choose your career - Atos

If you're ready to embark on this exciting adventure with us, sign in on jobs.atos.net.

Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.

Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.

Choose your future. Choose Atos.