Enterprise Architect

Position: 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., Lang Graph, Auto Gen, 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, Tensor Flow, 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 Git Hub Enterprise environments, including

CI/CD pipelines using Git Hub 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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