Data and AI Architect

ConocoPhillips is one of the world’s largest independent exploration and production companies, focused on delivering energy globally. They are seeking a highly skilled Data and AI Architect to lead the design and development of Digital & AI Solutions, enhancing AI capabilities and ensuring high data quality across the organization.

Responsibilities:

• Responsible for identifying and evaluating the latest Artificial Intelligence (AI) capabilities, Large Language Models (LLMs) and technologies
• Responsible for integrating AI Models with applications using Model Context Protocol (MCP) and other cutting-edge capabilities to drive business results and innovation to propel organization’s Data and Digital strategies
• Accountable for defining end-to-end AI solution architecture that integrates with the established data foundation to deliver insights and predictions
• Responsible for establishing strategies, design patterns, guardrails, decision matrices, information models and frameworks that drive operational efficiencies across the AI landscape
• Responsible for identifying gaps and opportunities in the AI landscape and formulate a roadmap for enhancements
• Responsible for assessing the latest LLMs and enabling them for use cases
• Accountable for the operationalization of new AI capabilities, LLMs and tools and ensuring seamless integration with existing systems and processes (e.g. security, scalability, performance, reliability, FinOps, recovery etc.)
• Collaborate with Responsible AI committee to establish Responsible AI and AI-Ops (LLM-Ops) practices across the organization ensuring industry standard best practices are incorporated and adhered to
• Responsible for providing technical leadership and mentorship to development teams on implementing AI technologies and patterns
• Responsible for defining and operationalizing AI optimization techniques to address performance, cost and efficiency
• Responsible for creating enterprise blueprints that tie together our business processes and workflows with data in a cohesive way that strengthens our overall AI capabilities, accelerates delivery, and promotes innovation across the Data & AI landscape
• Responsible for cultivating relationships with peer Data Management groups and Enterprise Architects to ensure alignment, compliance and long-term sustainability of our digital assets
• Consulting and/or participation in risk review process and Architecture Review board to ensure AI projects/tools/models align with the organization's risk management and architecture standards
• Ensure consistency of AI models & tools, and architectural best practices across the organization, driving adoption across our teams and systems
• Proactively identify opportunities for automation and continuous improvements
• Stay current with the latest trends, technologies, and best practices in the AI stack - management, governance, and architecture
• Participate and support Agile quarterly planning for the team
• Establish AI capabilities to seamlessly complement the Data Lake, Data Warehouse, forming a unified and holistic platform to meet all data requirements
• Ensure consistency of AI models, tools, and architectural best practices across the organization, driving adoption across our teams and systems
• Responsible for establishing synergies and decision trees to map the right AI tools for the use cases
• Support other business groups (such as Asset & Operations Integrity, Construction, Damage Prevention, etc.) with a variety pipeline related activity