ArcelorMittal

Enterprise AI Architect

ArcelorMittal  •  Kingdom of the Netherlands (Onsite)  •  2 hours ago
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Job Description

Purpose of the role

Act 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.

Key responsibilities

  • Define and maintain enterprise AI reference architectures and the approved agent/AI pattern catalogue.
  • Set the technical Definition of Ready for AI use cases and assess feasibility, solution options, cost/performance and non-functional requirements.
  • Chair the AI Architecture Review Board and own architecture decisions, exceptions and technical-debt registers.
  • Review platform and pod designs for reuse, operability, security and alignment with ArcelorMittal standards.
  • Align AI patterns with Azure AI Foundry, Copilot Studio, Microsoft Fabric, Entra ID, Azure API Management, Aura/Databricks and SAP integrations.
  • Ensure evaluation, observability, fallback, identity, data and operational requirements are designed before release.
  • Coach architects and pod technical leads across Europe and India and validate partner accelerators before adoption.
  • Accept the architecture handover pack from Microsoft and progressively assume full design authority.

Experience

15+ years in solution or enterprise architecture, including 3+ years designing generative AI or agentic solutions on Azure.

P1 - must have

  • Enterprise/solution architecture on Microsoft Azure, including Azure AI Foundry, Azure AI Search, Copilot Studio and Microsoft Fabric.
  • Agentic AI architecture: decomposition, orchestration, tools, memory, evaluation and guardrail patterns.
  • Integration and security architecture using Azure API Management, Entra ID, managed identities, private networking and container platforms.
  • Architecture governance: review boards, Architecture Decision Records, non-functional requirements and technical-debt control.
  • Ability to translate business use cases into evaluable, secure and operable solution designs.
  • Executive-level communication and constructive challenge across business, architecture, risk and engineering stakeholders.

P2 - preferred

  • Databricks/lakehouse and semantic-layer architecture.
  • SAP integration patterns and Power Platform connectors.
  • Responsible AI, EU AI Act and privacy-by-design awareness.
  • Azure Solutions Architect Expert, AI-102 and/or TOGAF.

Core competencies

  • Stakeholder orientation and executive influence
  • Results and value orientation
  • Courage to challenge and sound judgement
  • Cross-cultural collaboration across Europe and India
  • Learning agility and capability building
  • Structured decision-making and transparent governance

Key deliverables

Enterprise 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.

First 90 days

  • Complete the Zenith 2.0, security, data and Responsible AI induction.
  • Confirm Microsoft counterparts and the architecture decisions, artefacts and patterns to be transferred.
  • Establish the Architecture Review Board cadence, Definition of Ready and decision registers.
  • Co-chair initial reviews and assume ownership of at least one reference architecture or recurring design decision.

ArcelorMittal is the world's leading steel and mining company, with a presence in 60 countries and primary steelmaking facilities in 15 countries. Our material is part of the fabric of life. What we produce makes a difference – to individuals, communities, businesses and society. At ArcelorMittal, the safety, health, and wellbeing of our employees are our top priorities. We believe that every accident is avoidable, and it is essential for every employee, from the shop floor to the management committee, to hold this belief.

Our purpose is to produce ever smarter steels that have a positive benefit for people and planet. Steels made using innovative processes which use less energy, emit significantly less carbon and reduce costs. Steels that are cleaner, stronger and reusable. Steels for electric vehicles and renewable energy infrastructure that will support societies as they transform through this century. With steel at our core, our inventive people and an entrepreneurial culture at heart, we will support the world in making that change. This is what we believe it takes to be the steel company of the future.

ArcelorMittal

About ArcelorMittal

ArcelorMittal is the world's leading steel and mining company, with a presence in more than 60 countries and an industrial footprint in 18 countries. Guided by a philosophy to produce safe, sustainable steel, we are the leading supplier of quality steel in the major global steel markets including automotive, construction, household appliances and packaging, with world-class research and development and outstanding distribution networks.

Through our core values of sustainability, quality and leadership, we operate responsibly with respect to the health, safety and wellbeing of our employees, contractors and the communities in which we operate.

For us, steel is the fabric of life, as it is at the heart of the modern world from railways to cars and washing machines. We are actively researching and producing steel-based technologies and solutions that make many of the products and components we use in our everyday lives more energy-efficient.

We are one of the world’s five largest producers of iron ore and metallurgical coal and our mining business is an essential part of our growth strategy. With a geographically diversified portfolio of iron ore and coal assets, we are strategically positioned to serve our network of steel plants and the external global market.

Industry
Oil, Gas & Mining
Company Size
10,000+ employees
Headquarters
L-1160 Luxembourg, LU
Year Founded
Unknown
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