ArcelorMittal is looking for an AI Technical Architect to establish and lead the AI Factory in India
and define enterprise-grade AI and Generative AI architectures. The role is responsible for
designing scalable, secure, and high-performing AI platforms and solutions aligned with enterprise
IT, data, and security standards.
The AI Technical Architect will collaborate closely with the AI Solution Architect (Europe), business
stakeholders, and global IT teams to translate business objectives into robust AI architectures.
This strategic and hands-on role combines deep technical expertise with leadership
responsibilities to guide teams, drive innovation, and deliver AI-driven business transformation
supporting ArcelorMittal's vision of smarter, low-carbon steel.
REQUIRED TECHNICAL COMPETENCIES
AI and GenAI Architecture
- Deep expertise in Generative AI (LLMs, embeddings, RAG, AI agents, prompt engineering).
- Experience designing enterprise-scale AI platforms and frameworks.
- Knowledge of model lifecycle management, evaluation, and optimization.
Azure and Cloud Architecture
- Strong experience with Azure AI services, Azure OpenAI, Azure Machine Learning, Cognitive
Services.
- Experience with cloud networking, compute, storage, identity, and security architecture.
- Knowledge of cloud-native and microservices architecture patterns.
Integration and Data Architecture
- Experience integrating AI with enterprise applications (SAP, Dynamics 365, Power Platform).
- Knowledge of data platforms (data warehouse, data lake, lakehouse, analytics platforms).
- Experience with API architecture, event-driven integration, and messaging patterns. Programming and Engineering - Strong knowledge of Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). - Familiarity with data engineering tools (Databricks, Synapse) and AI SDKs. - Knowledge of DevOps, CI/CD, and MLOps practices.
PREFERRED TECHNICAL COMPETENCIES
Experience defining enterprise architecture standards and reference frameworks.
Strong analytical and problem-solving skills.
Experience working in global, distributed organizations.
Excellent communication and stakeholder management skills.
Experience 10-12 years of experience in software, cloud, and AI solution delivery. Minimum 3+ years in architecture or technical leadership roles. Proven experience designing AI platforms and enterprise architectures. Experience working with global and distributed teams. Professional certifications in Azure AI / Architect, SAP BTP / AI are a strong plus.
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