AI Application Developer

ConocoPhillips • Houston, TX

7d • Onsite

About The Position

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.

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

Benefits

• Medical, dental, vision, mental health support, and wellness programs.
• Competitive base pay, annual performance bonuses, and retirement savings plans.
• Paid time off, paid parental leave, and family support resources.
• Access to training, mentoring, and internal career mobility tools.
• Peer-nominated awards, inclusive culture, and employee resource groups.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed