{"id":2007402,"url":"https://alion.io/job/atos-ai-delivery-architect","title":"AI Delivery Architect","company":{"id":3006,"name":"Atos","domain":"atos.net","url":"https://alion.io/company/atos","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":99,"open_postings":4,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Timișoara, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":108000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1192},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"EU AI Act","optional":false},{"name":"Fine-tuning","optional":false},{"name":"FinOps","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"IAM","optional":false},{"name":"ISO 42001","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLMOps","optional":false},{"name":"Mistral","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OVHcloud","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Polaris","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scaleway","optional":false},{"name":".NET","optional":true},{"name":"Anthropic","optional":true},{"name":"Arize Phoenix","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"AWS Bedrock AgentCore","optional":true},{"name":"C#","optional":true},{"name":"Claude","optional":true},{"name":"Copilot Studio","optional":true},{"name":"Databricks","optional":true},{"name":"DeepEval","optional":true},{"name":"Docker","optional":true},{"name":"Embeddings","optional":true},{"name":"FastAPI","optional":true},{"name":"Go","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Kubernetes","optional":true},{"name":"Langfuse","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"OpenAI Evals","optional":true},{"name":"Promptfoo","optional":true},{"name":"Pydantic","optional":true},{"name":"Pytest","optional":true},{"name":"Ragas","optional":true},{"name":"Snowflake","optional":true},{"name":"TypeScript","optional":true},{"name":"Vertex AI Agent Builder","optional":true},{"name":"Zero Trust","optional":true}],"status":"live","first_seen_at":"2026-09-15T02:00:00Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-10-20T11:55:21Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"Who we are.\nWe are a team of passionate experts with a clear ambition: applying digital technology to advance what matters for our clients and society.\nTogether we createreliable and responsive digital foundations for the world’s businesses, institutions, and communities.\nLearn more on Advancing what matters\nAtos is hiring an AI Delivery Architect to help define and deliver AI architecture patterns, engineering standards, evaluation frameworks, and governance practices across Belgium delivery teams. The role combines strategic architecture ownership with hands-on technical delivery, supporting production AI systems from concept to scale.\nKey Responsibilities\nDefine and maintain AI delivery reference architectures, pattern libraries, and target-state architectures for AI engagements.\nEstablish engineering standards for LLM applications, agent orchestration, prompt management, retrieval pipelines, model serving, observability, and lifecycle management.\nWork directly with delivery teams to translate strategy into shipped artefacts, including Python MCP servers, typed agent boundaries, and evaluation gates in CI.\nConduct AI risk assessments covering EU AI Act classification, provider-versus-deployer determination, ISO 42001, DORA, NIS2, and GDPR alignment.\nEvaluate AI platforms, model providers, sovereign vendors, agent platforms, evaluation tooling, and open-source components based on fit, cost, performance, sovereignty, and risk.\nPartner with platform, MLOps, and LLMOps teams on CI/CD, infrastructure-as-code, observability, drift detection, incident response, and AI FinOps.\nDrive responsible AI practices, including privacy, auditability, bias mitigation, explainability, human-in-the-loop controls, and technical documentation for high-risk classifications.\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent senior engineering experience.\n8+ years in software or enterprise architecture, distributed systems, or AI/ML platform engineering.\n3+ years of hands-on experience designing and shipping production AI/ML or generative AI systems, including LLM systems taken from prototype to production.\nStrong hands-on engineering skills in Python, MCP servers, typed agent boundaries, evaluation harnesses, and CI integration.\nProduction experience with cloud platforms such as AWS, Azure, or Google Cloud, and at least one sovereign-EU stack such as OVHcloud, Mistral, Aleph Alpha, Scaleway, Outscale, or Polaris.\nDeep knowledge of LLM application architecture, including RAG, function calling, agentic orchestration, fine-tuning, prompt orchestration, and model serving.\nFamiliarity with MLOps and LLMOps tooling, model lifecycle management, observability frameworks, and CI/CD for AI systems.\nWorking knowledge of EU AI Act risk classification, ISO/IEC 42001, DORA, NIS2, GDPR, enterprise security, IAM, encryption, data protection, and data-residency requirements.\nAbility to communicate architecture decisions clearly to delivery teams and senior stakeholders.\nPreferred Qualifications\nExperience in regulated industries such as financial services, healthcare, public sector, or critical infrastructure.\nCertifications such as ISO/IEC 42001 Lead Implementer or Lead Auditor, AWS Solutions Architect Pro, Azure AI Engineer, GCP Professional ML Engineer, or IAPP AIGP.\nFamiliarity with architecture frameworks such as TOGAF, Zachman, C4, and stage-gate delivery models.\nExperience building internal developer platforms, AI accelerators, reusable enterprise AI asset libraries, or production-quality agent tooling.\nPublic writing, open-source contributions, or conference talks related to AI engineering systems.\nTechnical Skills\nAI/ML: LLMs, RAG, embeddings, vector search, model evaluation, fine-tuning, agentic orchestration, and classical ML.\nAgent platforms: Anthropic Claude, Microsoft Copilot Studio and Agent 365, AWS Bedrock AgentCore, Google Vertex AI Agent Builder, and Atos Polaris.\nArchitecture and engineering: distributed systems, microservices, event-driven architecture, API design, Python, FastAPI, async, Pydantic, pytest, TypeScript or Go, CI/CD, and infrastructure-as-code.\nData and platforms: Databricks, Snowflake, vector stores, knowledge graphs, AWS, Azure, GCP, Kubernetes, Docker, serverless, GPU infrastructure, and sovereign stacks.\nObservability, operations, governance, and security: Langfuse, Arize Phoenix, Ragas, DeepEval, Promptfoo, OpenAI Evals, monitoring, tracing, drift detection, AI FinOps, IAM, zero-trust, EU AI Act, ISO 42001, DORA, and responsible-AI guardrails.\nIf you're ready to embark on this exciting adventure with us, sign in on jobs.atos.net.\nJoin our phenomenal tech defenders’ team to build a safer digital world together!\nLearn more about us:\nAt Atos, we embrace diversity as the ultimate engine of ingenuity for our clients, and we constantly strive to create a culture where people feel supported and encouraged. Read more about our commitment here.\nWhether it is fighting climate change, promoting digital inclusion, or ensuring trust in data management - tech for good sits at the core of our identity. With numerous global recognitions for our ESG practices, we are committed to building a better future for all by harnessing the power of technology. 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