ENTERPRISE ARCHITECT

Enterprise Architect – Atos

Join to apply for the ENTERPRISE ARCHITECT role at Atos .

About Atos Group

Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under the brands Atos (services) and Eviden (products). It is the European number one in cybersecurity, cloud and high‑performance computing. Atos Group is committed to a secure and decarbonised future and delivers tailored AI‑powered, end‑to‑end solutions for all industries.

Qualifications

• Experience with fine‑tuning / adapting models (LoRA, RAG, prompt optimisation, RLHF basics)
• Ability to design and implement agentic architectures (single‑and‑multi‑agent systems)
• Hands‑on experience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, Swarm)
• Skill in defining agent roles, capabilities, tools, and memory patterns
• Experience building autonomous workflows task decomposition, planning, and self‑correction loops
• Strong prompt engineering skills (system prompts, dynamic context building, tool‑calling protocols)
• Knowledge of grounding strategies to reduce hallucinations and enforce business rules
• Proficiency in Python and common AI / ML libraries (PyTorch, TensorFlow, OpenAI / Anthropic SDKs)
• Experience building and consuming APIs and microservices for agent tool use
• Familiarity with event‑driven and asynchronous programming patterns
• Experience with RAG pipelines (embeddings, vector stores, retrieval optimisation)
• Knowledge of data engineering fundamentals (ETL, data quality, schema design for knowledge bases)
• Deep experience with cloud platforms (Azure, AWS, GCP) for AI workloads, including
• Model hosting and inference optimisation
• Serverless and container‑based architectures
• Cost monitoring and scaling strategies
• Proficiency in cloud‑native deployment architectures (Kubernetes, service meshes, managed inference endpoints)
• Experience deploying agentic systems within GitHub Enterprise environments, including
• CI / CD pipelines using GitHub Actions
• Secure secrets management and environment configuration
• Workflow automation and guardrail integration
• Compliance with enterprise governance and code review standards
• Ability to instrument and monitor agent behaviour (telemetry, tracing, logs, cost and latency tracking)
• Experience defining and running evaluations for agents (task success, reliability, safety metrics)
• Understanding of security, privacy, and responsible AI principles (PII handling, access controls, auditability)
• Strong debugging and troubleshooting skills for complex, tool‑using agent workflows
• Ability to collaborate with product, data, and engineering teams to translate business needs into agentic solutions
• Clear communication skills for documenting agent designs, assumptions, limitations, and guardrails

Seniority Level

Not Applicable

Employment Type

Full‑time

Job Function & Industries

Information Technology; Computer and Network Security, IT Services, and IT Consulting.

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