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Senior specialist with niche ML, MDM, and knowledge-graph requirements reduces applicant density.
Strong domain and architecture bias reduces cross-industry transferability.
Explicit 14+ years and mandatory deep AI/MDM architecture experience make filters strict.
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Own architecture strategy and governance for enterprise AI/ML, Master Data Management (MDM), and modern data platforms, focusing on scalable, secure, and governed solutions.
Design and lead implementation of AI-enabled MDM, knowledge graphs, RAG, and agentic AI systems in energy and industrial domains, including OSDU energy data models.
Provide technical leadership across teams, drive architecture standards and best practices, evaluate emerging AI technologies, and align AI initiatives with enterprise business goals.
14+ years software engineering experience with 10+ years specifically in AI/ML, data, or intelligent systems.
Bachelor's degree in Engineering, Computer Science, or equivalent; Master's degree preferred.
Proven experience architecting enterprise-scale AI products/platforms including knowledge graph and AI-enabled MDM for Oil & Gas or energy domains.
Hands-on expertise with Large Language Models (Azure OpenAI, OpenAI, Claude, Gemini), RAG, prompt engineering, cloud-native AI architectures, Databricks, Python, and MDM architecture (golden record, entity resolution).
Senior strategic technology leader with deep enterprise architecture background combining AI innovation and data platform governance.
Experienced in translating complex business needs into scalable GenAI, RAG, and multi-agent AI platform solutions with strong operational leadership.
Domain expertise or significant experience in energy/Oil & Gas data models, knowledge graphs, MDM, and advanced AI/ML technologies within industrial contexts.