AI Application Developer

Welcome to Conoco Phillips, 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.

Conoco Phillips is seeking a skilled AI Application Developer to join our Petrotechnical Digital & AI Product Development team 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.

You 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., Git Hub 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 Dev Sec Ops  practices
• Contribute to a team culture of knowledge sharing, continuous improvement, and collaborative problem-solving

• 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 decisions that are safe and ethical

• Legally authorized to work in the United States
• Current/Valid driver’s license
• 3 or more years of professional software development experience
• 3 or more years of hands‑on, front‑end or scripting experience with one or more modern frameworks such as React, Blazor, or similar
• 3 or more years of experience developing and deploying applications on Microsoft Azure
• 3 or more years of experience with Azure Dev Ops, Git Hub Actions, and CI/CD pipelines
• 1 or more years of experience designing and delivering AI agentic solutions — autonomous agents, multi‑step reasoning…