Responsible AI, AI Risk & Security Lead

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 – Responsible AI, AI Risk & Security Lead
Job Nature – Permanent
Work Location – Hyderabad
Experience – 12+ years across Data, AI, Risk or Cybersecurity; 7+ years in risk, compliance, data protection, security architecture or AI governance; 3+ years on Azure security; and 2+ years applied to AI, generative AI or agentic systems.
Purpose of the Role
Establish and operate ArcelorMittal's integrated Responsible AI, AI risk and AI security governance for every AI use case and shared platform service. The role owns risk classification, impact assessments, human-oversight design, security architecture, threat modelling, evidence requirements, regulatory alignment, approval pathways and post-deployment assurance. The implementation partner prepares evidence and recommends; this role ensures ArcelorMittal can make informed risk and release decisions.
Key Responsibilities
Classify each use case by impact, autonomy, data sensitivity, user population and foreseeable harm using Low /Medium / High risk tiers and record the decision in the Use Case Charter.
Define Responsible AI and security requirements for impact assessment, transparency, human oversight, contestability, testing, identity, secrets, network isolation, data protection, APIs, agent runtimes and operations.
Review agent actions, model limitations, evaluation plans, threat models, failure modes, tool permissions and human-in-the-loop design before design sign-off and production authorization.
Maintain Responsible AI and security decisions, conditions, findings, residual risks and approval status; escalate risk to accountable ArcelorMittal authorities.
Ensure alignment with the EU AI Act, GDPR, ArcelorMittal Responsible AI and security standards, ISO 42001, ISO 27001, NIST guidance and works-council requirements.
Set threat-modelling, red-teaming, control-evidence, security-testing and release-readiness expectations; require remediation where exposure is unacceptable.
Define AI-specific monitoring and incident triggers for harm, drift, misuse, prompt injection, data exfiltration and control failure, integrated with Security Operations.
Track systemic findings, maintain the Responsible AI and security pattern library, and prioritize reusable remediation and control improvements.
Coach business owners, reviewers and engineering teams; operate integrated stage gates across Intake, Experimentation Pods, the AI Platform and Solution Pods.
Preferred Skills
Stakeholder orientation and executive communication
Results orientation and pragmatic risk judgement
Courage to challenge and independent assurance
Decision making and structured documentation
Cross-functional and cross-cultural collaboration
Innovation, learning agility and systems thinking
Capability building and knowledge transfer
Good to have skills
Responsible AI frameworks, EU AI Act, NIST AI RMF and ISO/IEC 42001
AI impact assessment, human oversight, evaluation, red-teaming and lifecycle governance
Azure security architecture, threat modelling and secure design review
AI/agent security including prompt injection, tool permissions, data exfiltration and content safety
GDPR fundamentals, evidence management, risk acceptance and executive communication
Azure AI Content Safety, Azure AI Foundry evaluations, DevSecOps and policy-as-code
Model Risk Management, Purview, DLP, internal audit, industrial or OT security exposure
Certifications such as IAPP AIGP, CIPP/E, ISO 42001 Lead Implementer, SC-100, AZ-500, CISSP or CCSP
Qualifications
Bachelor degree in Engineering, Computer Science, Information Technology, Cybersecurity, Data, Risk, Law 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:
All AI use cases are risk-classified at Intake and re-checked before production; Responsible AI and security evidence is complete and audit-ready; human oversight and threat controls are testable; high-risk findings are resolved; residual risk has a named ArcelorMittal acceptor; and no unreviewed or insecure AI system reaches production.
The successful Responsible AI, AI Risk & Security Lead combines deep AI governance, risk and cloud-securityexpertise with a pragmatic delivery mindset. The individual must translate regulation and policy into workable engineering controls, challenge unsafe design, communicate residual risk clearly to executives, 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, privacy and Responsible AI.
Integrated Responsible AI and security governance model; risk classifications; impact assessments; security baseline; threat-model standard; human-oversight designs; review and release decisions; evidence requirements; residual-risk recommendations; monitoring and incident triggers.
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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Work arrangement
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