AI Architect - Copilot & Agentic AI
Atos is hiring an AI Architect - Copilot & Agentic AI. It pays $105k-$135k a year and Level rates it ; you can apply on Atos.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Copilot, LangChain and prompt engineering among its tools and skills.
- Level classes it as a senior role.
- Atos has 609 other open roles on Level.
- Posted within the past two weeks.
AI in this role
Atos is 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 Group is 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 experienced AI 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.
What will you be doing:
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.
The total compensation range for this role is $105,000 – $135,000 USD.
Atos provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The compensation range listed for this position reflects the minimum and maximum target compensation that Atos, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside the posted range and will be determined based on multiple factors permitted by applicable law. These may include, but are not limited to, geographic location, education and qualifications, certifications and licenses, relevant experience and skills, seniority and performance, market and business considerations, and internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
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.
How we rate this
AI Architect - Copilot & Agentic AI at Atos rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you think about the risk of an AI system in this kind of role failing silently?
- What's a project where you used Copilot hands-on?
- Walk me through how you've used LangChain in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI Safety, Copilot, and LangChain. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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