AI & Data Solution Expert

About the role

A senior individual-contributor role in the Global Information Services department, combining architecture with hands-on delivery across Microsoft Fabric, SQL Server, Power BI and enterprise AI. You will define reusable standards, guide strategic designs and help move data and AI solutions from concept to operation in a regulated environment, working with engineering, architecture, security and business teams.

Key responsibilities

• Define the Data & AI solution architecture, reference patterns and technical standards aligned with business priorities, enterprise architecture, security and governance.
• Design and evolve the enterprise data platform on Microsoft Fabric and SQL Server, covering ingestion, lakehouse and warehouse layers, data modeling, performance, resilience and lifecycle management.
• Scale analytics with reusable Power BI semantic models, shared KPIs, certified datasets and governed self-service reporting.
• Build Generative AI applications, RAG solutions and governed data agents using Azure OpenAI and the Microsoft AI ecosystem, from prototype to secure production deployment.
• Contribute to engineering, DevOps, MLOps and LLMOps practices, including Git, CI/CD, automated testing, deployment, monitoring, observability and rollback.
• Embed data governance, security and Responsible AI through metadata, lineage, data quality, access controls, traceability, evaluation and human oversight.
• Mentor engineers, review strategic designs and explain technical trade-offs to business and technology stakeholders.

Required profile

• Strong experience designing and delivering enterprise data, analytics or AI solutions, supported by a relevant degree or equivalent professional experience.
• Experience delivering Generative AI solutions with Azure OpenAI or comparable enterprise LLM technologies, including RAG, semantic or vector search, grounding, agents and tool calling.
• Good understanding of enterprise security, identity and access management, data governance and Responsible AI.
• Ability to collaborate across engineering, architecture, governance and business teams, with professional proficiency in English.

Required skills

• Advanced SQL and Microsoft SQL Server, data modeling, query optimization, data warehouse, lakehouse and ETL/ELT architectures.
• Hands-on Power BI, especially semantic modeling, shared datasets, security and enterprise deployment.
• Practical experience with a modern cloud data and AI platform; Microsoft Fabric is strongly preferred.
• Git, CI/CD, automated testing, deployment automation and MLOps or LLMOps operational requirements.