AI Application Developer
Listed on 2026-09-07
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Software Development
Full Stack Developer, AI Engineer (Applied/Software), Azure, .NET Developer
AI Application Developer
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.
Your Responsibilities may include:
- Design and develop full-stack applications , 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
Success Profile
- 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
Required Qualifications:
- 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 workflows, or LLM-integrated applications within Azure
- 1 or more years of experience using AI coding assistants in a professional development environment
- 1 or more years of experience with query languages on one or more of the following platforms:
Snowflake, Azure SQL, No
SQL databases, Oracle, MongoDB, PostgreSQL - Intermediate level of proficiency in development (ASP.NET Core, Web API, Entity Framework)
Preferred Qualifications:
- 1 or more years of experience translating customer outcomes into technical design requirements
- 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…
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