Proven experience applying deep technical expertise across AI, ML, LLMs, agentic AI, and applied AI engineering, driving the design, evaluation, and governance of advanced AI solutions - Strong understanding of responsible AI principles, ethical risk, regulatory expectations, and mitigation strategies, and the ability to translate them into practical safeguards. Strong understanding of cloud-native AI solutions and proven experience delivering solutions on Azure, AWS and Google Cloud, ensuring alignment to enterprise standards, security controls and platform guardrails. Strong understanding of data engineering, governance, lineage, data quality and privacy frameworks, ensuring AI workloads are built on compliant, high-integrity data foundations. Proven experience designing secure, resilient and scalable AI, embedding security-by-design, operational guardrails and platform-level controls.
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