We’re building AI capabilities that will transform one of the world’s largest industrial organizations from intelligent operations to next-generation industrial solutions.

Be part of this exciting journey where AI, Agentic AI, Data, Cloud, and innovation meet real-world impact at a global scale.

What makes this opportunity unique is the scale, complexity, and impact.

You will have the opportunity to:

- Build AI products and solutions that operate across a truly global enterprise.
- Work at the intersection of industry, engineering, business transformation, and technology.
- Collaborate with leading experts from ArcelorMittal and strategic technology partners.
- Help establish standards, platforms, governance, and operating models that will shape our future AI landscape.
- Convert bold ideas into production-grade solutions that create measurable business value.
- Contribute to one of the most ambitious AI transformation programs currently underway in the industrial sector.

We’re looking for passionate AI Engineers, Data Specialists, Architects, Cloud Engineers, and technology innovators who want to solve complex challenges, build solutions from the ground up, and shape what comes next.

? Ready to take your AI career to the next level? Explore our open positions and apply now on LinkedIn. Come build the future of Industrial AI with ArcelorMittal!

Job Title – AI Engineer – Data & Semantic (Fabric · Power Platform · Power BI · SAP integration)

Job Nature – Permanent

Work Location – Hyderabad

Experience – Overall 8+ years in software engineering. 4+ years in data or analytics engineering, of which 2+ years on Microsoft Fabric / Power BI / Power Platform

Purpose of the role

Deliver the governed data, semantic, reporting and low-code components of a use case – curated Data Products, Fabric semantic models, Power BI, Power Platform and Microsoft 365 Copilot or SAP-connected components – so that agents work on trusted, reconciled data and users receive usable outcomes.





Key Responsibilities

- Build ingestion, transformation, curated data, semantic models and governed SQL or Fabric assets for the use case.
- Develop Power BI, Power Platform, Microsoft 365 Copilot or SAP-connected components where required by the use case.
- Implement data quality, reconciliation, lineage, access, retention and semantic controls defined by the Data Governance Lead.
- Automate unit, integration, reconciliation, performance and user-acceptance support tests.
- Implement refresh, monitoring, alerting, failure handling and support diagnostics.
- Ensure financial calculations are executed in SQL against governed data (never by a language model) and that EU residency and audit-trail requirements are respected.
- Document ownership, metrics, mappings, limitations, deployment and operating procedures; hand over to operations owners.

Preferred Skills

- Stakeholder orientation
- Results orientation
- Courage to challenge
- Inspire trust
- Innovation and learning agility
- Decision making
- Cross-cultural collaboration
- Capability building and knowledge transfer

Good to have skills

- Microsoft Fabric (Lakehouse, Dataflows, notebooks, semantic models) and Power BI (DAX, data modelling)
- Solid SQL; Python / PySpark for transformations
- Power Platform (Power Apps, Power Automate, connectors) and/or Microsoft 365 Copilot extensibility
- Data quality, reconciliation and lineage practices
- Git-based CI/CD for data and low-code assets
- Experience designing reusable semantic models and governed Data Products for analytics, reporting and AI use cases
- SAP data extraction (OData,



CDS views) and Power Platform SAP connector
- Databricks / Delta Lake and Unity Catalog
- Preparing data for retrieval-augmented generation / vector search (Azure AI Search)
- Certifications: DP-600, PL-300, PL-400, DP-700
- Experience preparing trusted, governed data for Generative AI, Retrieval-Augmented Generation (RAG) and Copilot-based solutions.
- Experience with Microsoft Fabric OneLake, governance and enterprise semantic model deployment patterns.

Qualifications

Bachelor degree in Engineering, Computer Science, Information Technology, Data, Business or a relevant discipline. Advanced degree or equivalent professional experience is an advantage.

Deliverables

This role helps establish a permanent ArcelorMittal AI capability, embeds repeatable engineering and control practices, and reduces dependency on the implementation partner through structured ownership transfer. Success is demonstrated when:

- Data is trusted and traceable; semantic outputs reconcile with source systems; refresh and failure paths are monitored; delivered reports/apps meet acceptance criteria; financial calculations are performed in SQL on governed data.
- Use-case Data Products; pipelines and transformations; semantic models; reports / apps / low-code workflows; quality and reconciliation evidence; monitoring and deployment assets; data and operational runbooks.

Time Zone

India Standard Time (IST) with European working hours (CET/GMT) overlap

? Location: Hyderabad, India | Global Opportunities | Real-World Impact

Interested candidates can share their updated resume at [email protected]; [email protected].

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#Hiring #ArtificialIntelligence #AgenticAI #DataEngineering #Cloud #Hyderabad #ArcelorMittal #BuildTheFuture #AMDC #AMGBT

📌 AI Engineer – Data & Semantic (Fabric · Power Platform · Power BI · SAP integration) (Hyderabad)
🏢 ArcelorMittal Digital Consulting
📍 Hyderabad