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Highly specialized senior role with niche AI/MDM skills reduces applicant competition.
Requires specialized AI, MDM, and industry data models, limiting cross-industry transferability.
Explicit 14+ years and mandatory deep ML/MDM/LLM expertise create strict shortlisting filters.
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Define and govern enterprise AI/ML and master data management (MDM) architecture strategy, focusing on scalable, governed, and intelligent data platforms for energy and industrial domains.
Lead design and implementation of AI-powered MDM solutions including knowledge graphs, RAG, agentic AI frameworks, and enterprise data governance standards.
Provide architecture leadership by establishing reference architectures, guiding multiple teams on scalable AI engineering practices, and influencing executive stakeholders.
14+ years of software engineering experience with 10+ years focused on AI/ML, data or intelligent systems.
Bachelor’s degree in Engineering, Computer Science, or equivalent; Master’s degree preferred.
Proven expertise with AI-enabled MDM platforms, knowledge graphs, RAG, entity resolution, and energy domain data models (OSDU compliance).
Experience architecting enterprise-scale AI products, Large Language Models (e.g., Azure OpenAI, OpenAI), cloud-native AI/ML architectures, and agentic AI systems.
Strategic technology leader capable of translating business objectives into scalable AI and MDM architecture solutions with enterprise integration focus.
Strong expertise in designing and governing AI-first platforms including LLMs, RAG, agent orchestration, and knowledge graph technologies for complex domains (energy/industrial).
Experienced in leading architecture governance and mentoring across teams, balancing technical depth with enterprise-scale execution and stakeholder influence.