AI Application Developer

Welcome to ConocoPhillips, where innovation and excellence create a platform for opportunity and growth. Come realize your full potential here.

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.

ConocoPhillips is seeking a skilled AI Application Developer to join our Petrotechnical Digital & AI Product Development team in Houston to build transformational tools to drive efficiency and elevate capabilities for Petrotechnical disciplines. In this role, you will design, build, and deliver modern full-stack applications and AI-driven solutions. You’ll work as an integral member of a cross-functional team — collaborating daily with software engineers, data analysts, and business end users to translate complex operational challenges into production-grade software. You’ll leverage AI coding assistants and agentic workflows to accelerate delivery and raise the bar on quality across the full development lifecycle.

Overview Your responsibilities may include: Design and develop full-stack applications using .NET, React, and Blazor, from architecture through deployment Build and maintain cloud-native solutions on Microsoft Azure (App Service, Azure Functions, Azure Container Apps, etc.) Write clean, testable code for data pipelines, APIs, and AI integrations Architect and implement AI-driven agentic solutions using Azure AI Foundry, Azure OpenAI, Semantic Kernel, and related services Integrate multi-step AI workflows (tool use, retrieval-augmented generation, agent orchestration) into enterprise applications Use AI coding assistants (e.g., GitHub Copilot, Azure AI coding tools, Claude) as a standard part of your development workflow to improve velocity and code quality Partner closely with a cross-functional team of software engineers, data analysts, data scientists, and business end users to gather requirements, define solutions, and deliver software that directly supports operational decision-making Serve as a technical bridge between analytical and engineering disciplines — translating business requirements from analysts and end users into well-architected, maintainable solutions Engage end users throughout the development cycle — conducting working sessions, incorporating feedback, and ensuring delivered applications solve real-world problems effectively Participate in code reviews, CI/CD pipeline management, and DevSecOps practices Contribute to a team culture of knowledge sharing, continuous improvement, and collaborative problem-solving Success Profile To thrive in this role, you’ll demonstrate the following leadership competencies: Takes Accountability: Takes ownership of actions and follows through on commitments by courageously dealing with important problems, holding others accountable, and standing up for what is right. Drives Performance: Delivers results through realistic planning to accomplish goals. Makes Decisions: Generates effective solutions based on available information and makes timely