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AI/ML Engineer

ConocoPhillips · On-site · Full-time · Houston, TX · United States

Posted (21h ago)

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Employer posted
First seen here
Repost check
Same job ID since we first saw it on Oct 20, 2026. If ConocoPhillips reposts it, we keep the original posting date.
Level
Mid-level
Work setup
On-site
Tech mentioned
Python, LLMs, Azure, AWS
ConocoPhillips hiring
2 roles posted in the last 30 days

Job description

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 The A/ML Engineer is responsible for defining and implementing enterprise AI solution patterns supporting Commercial IT and trading functions. This role focuses on designing architecture for AI-enabled applications, including orchestration layers, governance guardrails, and responsible AI controls. The position partners closely with trading, analytics, and technology teams to translate business use cases into scalable AI and data-driven solutions that support commercial decision-making and operational efficiency. The role requires hands-on experience building and deploying AI or machine learning solutions in production environments, along with a practical understanding of trading workflows and data ecosystems. Position Overview Your Responsibilities may include: Define and implement AI architecture and solution patterns supporting commercial and trading technology initiatives. Design and build AI-enabled applications, including orchestration frameworks, workflow pipelines, and integration layers with existing enterprise systems. Establish governance standards, guardrails, and responsible AI controls to ensure reliability, transparency, and compliance with internal policies. Collaborate with commercial stakeholders to identify use cases and translate business requirements into scalable AI and data solutions. Develop, deploy, and maintain machine learning and AI models supporting trading, operations, and analytics workflows. Integrate AI services with data platforms, APIs, and enterprise applications across the commercial technology landscape. Monitor model performance, manage model lifecycle processes, and support ongoing optimization and reliability of production systems. Ensure data quality, security, and governance standards are maintained across AI and data workflows. Provide technical guidance on AI implementation patterns, tooling, and best practices across development teams. Maintain documentation for architecture, workflows, and governance standards supporting AI solutions. Success Profile To thrive in this role, you’ll demonstrate the following leadership competencies: Takes Accountability: Takes ownership of actions, follows through on commitments, and stands up for what is right. Drives Performance: Delivers positive outcomes through realistic planning and goal setting. Makes Decisions: Uses available information to generate sound solutions and makes timely decisions that are safe and ethical. Required Qualifications Legally authorized to work in the United States. 5 or more years of experience in software engineering, data engineering, machine learning engineering, or AI-focused development roles. 5 or more years of experience implementing governance, validation, or risk controls for data or AI-driven systems. Advanced level of proficiency designing and deploying AI or machine learning solutions in production environments. Advanced level of proficiency building and managing orchestration workflows for AI or data-driven applications. Advanced level of proficiency in programming skills in Python and experience working with modern data and AI frameworks. Advanced level of knowledge of system architecture, APIs, and integration patterns across enterprise applications. Intermediate level of familiarity with trading or commercial operations workflows, preferably within commodities, energy, or financial markets. Preferred Qualifications Strong problem-solving skills and ability to work independently within a collaborative environment. Effective communication skills for working with both technical and business stakeholders. Experience supporting trading, risk management, or commercial operations systems in commodities or energy markets. Familiarity with large language models (LLMs), natural language processing (NLP), or decision-support systems. Experience working with cloud platforms (Azure or AWS) and modern data architectures. Knowledge of model lifecycle management, monitoring, and deployment frameworks. Experience working within regulated or risk-controlled technology environments. Apply By: Nov 5, 2026 Sponsorship: ConocoPhillips’ sponsorship for employment authorization in the U.S. is NOT available for this position. Benefits Overview ConocoPhillips offers a competitive and comprehensive benefits package designed to support your well-being and career growth: Taking Care of Your Health & Wellness : Medical, dental, vision, mental health support, and wellness programs. Supporting and Building Financial Security : Competitive base pay, annual performance bonuses, and retirement savings plans. Promoting Work-Life Balance : Paid time off, paid parental leave, and family support resources. Offering Career Development : Access to training, mentoring, and internal career mobility tools. Guiding Recognition & Inclusion : Peer-nominated awards, inclusive culture, and employee resource groups. Why ConocoPhillips At ConocoPhillips, we believe our people power the future of energy. We’re committed to creating a workplace where employees feel valued, supported, and inspired to grow—professionally and personally. We don’t just offer jobs—we offer meaningful careers in a company that values how we work as much as what we achieve. EEO: In the US, ConocoPhillips is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, gender identity or expression, genetic information, or any other legally protected status.

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ConocoPhillips job ID: AI-ML-Engineer_REQ-006701

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