Arcelormittal Saudi Arabia
Website:
arcelormittal.com
Job details:
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 – Agentic Solutions (Azure AI Foundry · Copilot Studio · Fabric)
Job Nature – Permanent
Work Location – Hyderabad
Experience – 4+ years software engineering, of which 1+ year building large-language-model-based or agentic applications. Open for talented campus hires from top engineering institutes
Purpose of the role
Build governed agentic and AI application components – model access, prompts, grounding, orchestration, tools, workflows, memory and guardrails – using Azure AI Foundry, Copilot Studio, Microsoft Fabric and the CoE's approved reusable patterns, with automated evaluation, telemetry and controlled deployment.
Key Responsibilities
- Implement model access, prompts, grounding (retrieval-augmented generation), orchestration, tools, workflows, memory and guardrails using Azure AI Foundry, Agent Framework / Semantic Kernel and Copilot Studio.
- Integrate governed Data Products and enterprise services through approved interfaces (Azure API Management, Fabric, Power Platform connectors).
- Create automated functional, evaluation, safety, permission, latency, cost and failure-path tests aligned with the CoE agent evaluation suite.
- Implement telemetry for model/agent behaviour, quality, usage, cost and operational diagnosis.
- Package components for controlled deployment, configuration, rollback and support through platform CI/CD.
- Document design, limitations, evaluation results, known failure modes and operational procedures.
- Apply Responsible AI and security controls defined by the CoE; contribute reusable components back to the pattern library.
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
- Python and/or C# development with solid testing practice
- Azure AI Foundry / Azure OpenAI: prompt engineering, function calling, retrieval-augmented generation with Azure AI Search, evaluations, content safety
- Agent frameworks (Microsoft Agent Framework / Semantic Kernel, Azure AI Agent Service) and/or Copilot Studio
- REST APIs, authentication with Entra ID, Git-based CI/CD workflows
- Understanding of observability (Application Insights, OpenTelemetry) and cost management for large language model workloads
- Microsoft Fabric / SQL for grounding on governed data; Power Platform low-code
- Azure Container Apps / Docker; Azure API Management policies
- Experience with large language model red-teaming or evaluation datasets
- Certifications: AI-102, AZ-204, PL-500 / PL-200
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
The successful AI Engineer – Agentic Solutions (Azure AI Foundry · Copilot Studio · Fabric) combines strong professional depth with a practical delivery mindset. The individual must be able to establish clear methods, make sound decisions, develop colleagues and progressively assume ownership from the implementation partner. Success requires confidence working across India and Europe and balanced judgement across delivery speed, reuse, security and Responsible AI.
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:
- Task and safety evaluations meet thresholds; permissions and failure behaviour are tested; telemetry exposes quality and cost; components deploy and roll back reliably; approved patterns are reused rather than re-invented.
- AI / agent components; prompt, tool and orchestration assets; grounding and workflow configuration; automated evaluation and safety tests; telemetry dashboards; deployment assets; technical and operational documentation.
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 anshika.singh@arcelormittal.com; pooja.mishra@arcelormittal.com.
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