{"id":2864889,"url":"https://alion.io/job/arcelormittal-enterprise-ai-architect","title":"Enterprise AI Architect","company":{"id":13461,"name":"ArcelorMittal","domain":"arcelormittal.com","url":"https://alion.io/company/arcelormittal","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":86,"open_postings":182,"ghost_share":0,"stale_share":0.753,"repost_share":0,"time_to_fill_p50_days":8,"computed_at":"2026-11-04T06:34:25Z"}},"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":["Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":93000,"max_usd":214000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1279},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Databricks","optional":false},{"name":"EU AI Act","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Microsoft Fabric","optional":false}],"status":"live","first_seen_at":"2026-10-19T12:53:37Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-11-04T05:35:34Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Purpose of the role\nAct as ArcelorMittal’s enterprise design authority for AI and agentic solutions. Define reusable target architectures and patterns, chair design reviews, and ensure platform, data, AI, integration, security and operability decisions converge on a coherent enterprise architecture.\nKey responsibilities\nDefine and maintain enterprise AI reference architectures and the approved agent/AI pattern catalogue.\nSet the technical Definition of Ready for AI use cases and assess feasibility, solution options, cost/performance and non-functional requirements.\nChair the AI Architecture Review Board and own architecture decisions, exceptions and technical-debt registers.\nReview platform and pod designs for reuse, operability, security and alignment with ArcelorMittal standards.\nAlign AI patterns with Azure AI Foundry, Copilot Studio, Microsoft Fabric, Entra ID, Azure API Management, Aura/Databricks and SAP integrations.\nEnsure evaluation, observability, fallback, identity, data and operational requirements are designed before release.\nCoach architects and pod technical leads across Europe and India and validate partner accelerators before adoption.\nAccept the architecture handover pack from Microsoft and progressively assume full design authority.\nExperience\n15+ years in solution or enterprise architecture, including 3+ years designing generative AI or agentic solutions on Azure.\nP1 - must have\nEnterprise/solution architecture on Microsoft Azure, including Azure AI Foundry, Azure AI Search, Copilot Studio and Microsoft Fabric.\nAgentic AI architecture: decomposition, orchestration, tools, memory, evaluation and guardrail patterns.\nIntegration and security architecture using Azure API Management, Entra ID, managed identities, private networking and container platforms.\nArchitecture governance: review boards, Architecture Decision Records, non-functional requirements and technical-debt control.\nAbility to translate business use cases into evaluable, secure and operable solution designs.\nExecutive-level communication and constructive challenge across business, architecture, risk and engineering stakeholders.\nP2 - preferred\nDatabricks/lakehouse and semantic-layer architecture.\nSAP integration patterns and Power Platform connectors.\nResponsible AI, EU AI Act and privacy-by-design awareness.\nAzure Solutions Architect Expert, AI-102 and/or TOGAF.\nCore competencies\nStakeholder orientation and executive influence\nResults and value orientation\nCourage to challenge and sound judgement\nCross-cultural collaboration across Europe and India\nLearning agility and capability building\nStructured decision-making and transparent governance\nKey deliverables\nEnterprise AI reference architecture; AI/agent pattern catalogue; feasibility assessments; Architecture Decision Records; Architecture Review Board packs and decision register; technical dependency/debt roadmap; Microsoft architecture handover pack.\nFirst 90 days\nComplete the Zenith 2.0, security, data and Responsible AI induction.\nConfirm Microsoft counterparts and the architecture decisions, artefacts and patterns to be transferred.\nEstablish the Architecture Review Board cadence, Definition of Ready and decision registers.\nCo-chair initial reviews and assume ownership of at least one reference architecture or recurring design decision.","description_format":"text","description_chars":3333,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Mining","Metals & Metallurgy","Iron Ore"],"lifecycle":[{"event":"open","at":"2026-10-19T17:26:58Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker, Senior or Specialist Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker; 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