AI Application Developer

ConocoPhillips•Bartlesville, OK

About The Position

ConocoPhillips is seeking a skilled AI Application Developer to join our Petrotechnical Digital & AI Product Development team. The role involves building transformational tools to drive efficiency and elevate capabilities for Petrotechnical disciplines. The developer will design, build, and deliver modern full-stack applications and AI-driven solutions, working collaboratively in a cross-functional team with software engineers, data analysts, and business end users. The position will leverage AI coding assistants and agentic workflows to accelerate delivery and enhance quality throughout the development lifecycle.

Requirements

Legally authorized to work in the United States
Current/Valid driver’s license
5 or more years of professional software development experience
3 or more years of experience designing and delivering AI agentic solutions — autonomous agents, multi-step reasoning workflows, or LLM-integrated applications within Azure
3 or more years of experience using AI coding assistants in a professional development environment
3 or more years of experience developing and deploying applications on Microsoft Azure
3 or more years of experience with Azure DevOps, GitHub Actions, and CI/CD pipelines
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 with query languages on one or more of the following platforms: Snowflake, Azure SQL, NoSQL databases, Oracle, MongoDB, PostgreSQL
3 or more years of experience translating customer outcomes into technical design requirements
Intermediate level of proficiency in full-stack .NET development (ASP.NET Core, Web API, Entity Framework)

Nice To Haves

Experience with Azure AI Foundry, Azure OpenAI Service, or similar enterprise AI services
Knowledge of RAG (Retrieval-Augmented Generation) patterns and vector databases
Prior experience building enterprise level software solutions for upstream oil and gas operations or similar industrial environments
Working knowledge of upstream oil and gas workflows and business processes — including one or more of the following disciplines: production engineering, production operations, maintenance, joint venture operations, well planning, or drilling and completions
Microsoft Azure certifications (AZ-204, AZ-305, AI-102, AZ-900 or equivalent)

Responsibilities

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.