Cloud Data and AI Architect

ConocoPhillips•Houston, TX

18h

About The Position

Welcome to ConocoPhillips, 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:

Requirements

Must be legally authorized to work in the United States
Bachelor's degree or higher in Computer Science, Engineering, Geoscience, Information Technology, Information Systems, related field or foreign equivalent
7 or more years of experience implementing and supporting complex Data Management initiatives e.g., Snowflake, ADLS, Databricks
7 or more years of experience with Cloud Platforms on Data Science and Analytics
7 or more years of experience in data architecture, and data management in an enterprise environment
5 or more years of experience with database platforms such as Snowflake or Teradata with demonstrated strength in SQL, data modeling, ETL development, and data warehousing
1 or more years of experience with AI technologies and Large Language Models
Intermediate level of knowledge and experience designing and implementing solutions using MCP technologies

Nice To Haves

5 or more years of Energy industry experience
Hands on experience and proficiency in Data Management tools – SQL, SDE, JSON, XML, scripting languages such as Python
Big Data technology stack including NoSQL, Spark, Hive, Kafka, StreamSets, IICS, ADF etc
Experience with Spark and any of the following programming languages: Python, Scala, Java etc
Hands on experience designing and implementing data ingestion techniques for real-time and batch processes into cloud based platforms
Delta Lake experience with query optimization
Work across structured, semi-structured, and unstructured data, with strong technical experience in large distributed systems, data warehousing, data lake at scale
Deep subject matter expertise and hands on experience in designing, scaling and implementing data lake platform
Advanced level of knowledge of master data management, real-time streaming data and cloud technologies
Advanced knowledge of well data lifecycle from exploration through to development, drilling and completion, production and eventual abandonment or relinquishment
Intermediate level of knowledge of Data Management principles, processes and data lifecycle
Advanced level of proficiency in DevOps , including Agile development process, containers, and source code control systems
Understanding of Data Science and related technologies
Ability to take ownership, engage, lead change, achieve results, adapt, problem solve, manage risk and drive tasks to completion
Ability to lead initiatives, multi-disciplinary project teams, and influence stakeholder buy-in
Participate in strategy and planning sessions and be recognized as a capable team member that delivers value
Demonstrated ability to deal with ambiguity and maintain effective performance under stressful and uncertain conditions
Excellent oral and written communication skills; proven ability to represent point of view and discuss technical information with the business users in business language
Team player, and self-driven individual who can multi-task, work independently under minimal supervision and deliver on commitments
Excellent analytical mind and proven problem-solving skills
Demonstrated leadership and peoples skills, with ability to engage at all levels of the organization
Confident in engaging all levels of the organization in communicating a data strategy
Ability to influence others and drive change around data standards and best practices
Delivers positive results through realistic planning to accomplish goals
Builds effective solutions based on available information and makes timely decisions that are safe and ethical

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