We’re building AI capabilities that will transform one of the world’s largest industrial organizations from intelligent operations to next-generation industrial solutions.
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:
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Build AI products and solutions that operate across a truly global enterprise.
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Work at the intersection of industry, engineering, business transformation, and technology.
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Collaborate with leading experts from ArcelorMittal and strategic technology partners.
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Help establish standards, platforms, governance, and operating models that will shape our future AI landscape.
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Convert bold ideas into production-grade solutions that create measurable business value.
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Contribute to one of the most ambitious AI transformation programs currently underway in the industrial sector.
AI Engineers, Data Specialists, Architects, Cloud Engineers, and technology innovators
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!
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Purpose of the role
Shape end-to-end AI services around real user, operator, support and governance needs: research, journey and service-blueprint mapping, prototyping and validation of human-AI interaction (trust, escalation, feedback, override), so that agentic solutions in Finance and IT are adopted and used safely.
Key Responsibilities
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Plan and conduct user, stakeholder and operational research for prioritized Finance and IT use cases.
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Map current and target journeys, service interactions, pain points and failure-recovery paths; produce service blueprints.
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Prototype experiences (Copilot Studio, Teams, Power Apps, web) and validate comprehension, trust, accessibility and task completion with representative users.
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Define human-AI interaction patterns: transparency, escalation to humans, feedback, override and contestability behaviour, in line with Responsible AI requirements.
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Translate findings into prioritized backlog items, acceptance criteria and service-blueprint changes with Product Owners.
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Maintain reusable design patterns and platform UX guidance; coach pod teams and ArcelorMittal designers.
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Support adoption readiness inputs (role and learning recommendations) coordinated with the Transformation Office.
Preferred Skills
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Stakeholder orientation
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Results orientation
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Courage to challenge
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Inspire trust
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Innovation and learning agility
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Decision making
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Cross-cultural collaboration
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Capability building and knowledge transfer
Good to have skills
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Plan and conduct user, stakeholder and operational research for prioritized Finance and IT use cases.
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Basic understanding of large language model capabilities and limitations
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Certifications: NN/g UX Certification, IAAP Service design and UX research methods (interviews, journey mapping, service blueprints, usability testing)
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Designing conversational / copilot / agent experiences and human-in-the-loop controls
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Prototyping tools (Figma or equivalent) and low-code prototyping in Copilot Studio / Power Apps / Teams
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Accessibility standards (WCAG 2.x) and inclusive design
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Ability to work in agile pods and translate research into backlog and acceptance criteria
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Enterprise process context: Finance (close, reporting, controls) and IT service management workflows Change CPACC.
Qualifications
Deliverables
The successful UX / Service Designer (Human-AI Interaction) 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:
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Priority journeys are validated with users before build; accessibility issues are addressed; human-AI controls (escalation, override, feedback) are understandable; avoidable UX rework and adoption friction decrease.
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Research plans and findings; journey maps; service blueprints; interactive prototypes; accessibility and usability evidence; design specifications; reusable design pattern library
Time Zone
India Standard Time (IST) with European working hours (CET/GMT) overlap
Location
Interested candidates can share their updated resume at anshika.singh@arcelormittal.com; pooja.mishra@arcelormittal.com.
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