Cloud Data and AI Architect

Welcome to Conoco Phillips, where innovation and excellence create a platform for opportunity and growth. Come realize your full potential here.
** Who We Are
** We are one of the world’s largest independent exploration and production companies, based on proved reserves and production of liquids and natural gas. With operations and activities in 13 countries, we explore for, develop, and produce crude oil and natural gas globally. We are challenged with an important job to safely find and deliver energy to the world. Our employees are critical to our success, and with them we power civilization.

We’re grounded by our SPIRIT Values – safety, people, integrity, responsibility, innovation, and teamwork. These values position us to deliver strong performance in a dynamic business – but not at all costs. We believe it’s not just what we do – it’s how we do it – that sets us apart.
** Fostering an Inclusive Work Environment
** To deliver superior performance, we create an environment that respects the contributions and differences of every individual. Wherever possible, we use these differences to drive competitive business advantage, personal growth and, ultimately, create business success.
** Job Summary
** We are seeking a highly skilled and experienced Cloud Data and AI Architect to join our team. Reporting to the Director of Data Architecture, this role will be responsible for leading the design and development of Digital & AI Solutions in line with the company's digital strategy.
The primary objective of the role is to bring together foundational components of data ecosystems to provide solutions using cutting edge Generative Artificial Intelligence and Model Context Protocol (MCP) that improve the quality and fidelity of the data consumed by business processes and analytics use cases. This role will be instrumental in enhancing our current AI capabilities, including the seamless integration with Data Lake functionality to complement our existing Data Warehouse.
The Cloud AI Architect will also lead strategic aspects of the AI strategy and be responsible for the operational aspects of management, especially regarding product development and decision-making.
The Cloud AI Architect will be part of a team of data architects, responsible for implementing data projects while ensuring a high level of data quality based on corporate and industry standards. The team will also be responsible for developing and enforcing standards for data management and implementing data technology solutions for structured and unstructured datasets as well as data catalogs and data lineage to enhance visibility and access to data.
As our organization is implementing a data modernization program along with data and digital strategies, the Cloud AI Architect will play a key role in providing input and influence in our journey towards a strategic Data and AI organization. This role also requires a strong and current technology focus, hands-on practical design & architecture experience, experience with integration and implementation digital/ cloud technology and excellent written and communications skills.
** Position Overview
**** Your responsibilities may include:
*** 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…