AI Lead Developer

Continental Resources•Oklahoma City, OK

2d•Onsite

About The Position

The AI Lead Developer is a hands-on individual-contributor role at the Advisor level that designs, builds, and supports production-quality AI solutions for Continental Resources. The role requires an experienced developer with extensive hands-on Databricks experience. Depending on business needs, the position may lead a group of developers or oversee and advise their work, while setting AI development standards and helping IT and business teams move AI ideas into supportable production solutions. The position develops and supports AI applications, AI-assisted development, agents, and workflows, including RAG, tool and function calling, agent orchestration, structured output, and human-in-the-loop review. It builds and maintains Databricks-based AI and data solutions and integrates them with enterprise systems. The AI Lead Developer also establishes development, evaluation, security, responsible AI, and deployment practices; mentors developers and citizen developers; partners with stakeholders to identify valuable AI use cases; and supports production solutions, including through a shared on-call rotation. This is a fully onsite position at the Continental Oil Center in Oklahoma City, Oklahoma. No regular travel is required.

Requirements

At least 10 years of recent software development, application development, or systems integration experience as a hands-on developer delivering applications to production.
At least 2 years of hands-on experience building AI or LLM-based solutions, such as RAG, agents, or AI-enabled workflows, from prototype through production.
Extensive hands-on Databricks experience, including notebooks, jobs, Unity Catalog, Delta Lake and medallion lakehouse architecture, and Genie and Mosaic AI agents.
Full-stack development experience, including front-end web frameworks such as React or Angular, back-end services and APIs, and relational databases.
Hands-on, daily experience with AI coding agents such as Cursor, Codex, or Claude Code, and sound judgment in reviewing and validating generated code.
Experience with Git, CI/CD pipelines such as Azure DevOps and Jenkins, Docker, and modern software engineering practices.
Demonstrated experience leading or mentoring developers, including setting standards, reviewing code, and guiding design decisions.
Experience with large, complex initiatives involving in-house development teams, commercial off-the-shelf applications, or software vendors.
Strong, current hands-on skills in Python, C#, TypeScript, or similar languages, with recent work examples to share.
Experience integrating applications with REST APIs, SQL databases, and enterprise systems, including authentication, error handling, and logging.
Working knowledge of secure development and responsible AI practices, including access control, secrets handling, and data privacy.
Excellent written and verbal communication, including the ability to explain technical tradeoffs to nontechnical audiences and leadership.
Strong analytical and troubleshooting skills, with the ability to manage multiple priorities.
Strong talent development, collaboration, accountability, results orientation, and learning agility.
Ability to meet the pre-employment background and drug test requirements.

Nice To Haves

Bachelor’s degree in Computer Science, MIS, or a related field; equivalent hands-on experience is acceptable in place of a degree.
Experience with OpenAI, Anthropic Claude, Google Gemini, or similar models, and enterprise AI platforms such as Glean.
Experience with Cursor specifically, including rules, skills, MCP, and agent workflows.
Experience with AWS and Azure cloud services, such as Lambda, S3, and Bedrock on AWS, or App Service, Functions, and Entra ID on Azure, and building secure, scalable web applications.
Experience with vector databases, embeddings, and governed MCP tool integrations.
Experience combining MuleSoft, UiPath, or Power Platform with AI, and guiding citizen development programs.
Experience with oil and gas business solutions such as Procount, eVIN, Carte, Peloton Suite, Aries, OFM, SAP ECC and PRA, Allegro, or Quorum Land; exposure to SAP S/4HANA is a plus.

Responsibilities

Lead, mentor, and train developers, setting expectations for quality, documentation, delivery, and the use of Cursor and AI-assisted development.
Design, develop, test, deploy, and support AI applications, AI-assisted development, agents, and workflows, writing production code directly.
Build and maintain AI and data solutions on Databricks, including notebooks, jobs, Unity Catalog, Delta Lake and medallion lakehouse pipelines, and Genie and Mosaic AI agents.
Integrate solutions with enterprise systems through APIs, Glean, Microsoft 365 and Microsoft Graph, SQL Server, and SharePoint; develop MCP servers and connectors that meet approved security standards.
Set AI development standards, including coding conventions, templates, reference implementations, platform guardrails, and a definition of done; lead code and design reviews.
Apply evaluation and testing practices, including test sets, quality thresholds, regression checks, and monitoring of accuracy, cost, and latency; evaluate emerging AI tools and models through focused pilots.
Define AI-assisted SDLC, branching, CI/CD, and environment promotion practices using Git, Azure DevOps, and Jenkins, and coordinate production deployment change control.
Build security and responsible AI practices into solutions, including least-privilege access, secrets management, prompt-injection and data-leakage safeguards, audit logging, and human oversight; confirm support ownership before production release.
Guide developers and citizen developers across IT and the business on approved AI patterns, tools, and data access; harden promising solutions for support and move citizen-built solutions into IT ownership when risk or scale requires it.
Partner with business stakeholders and IT teams to understand oil and gas workflows, identify where AI adds measurable value, translate needs into technical approaches, and explain AI capabilities and limits in plain language.
Resolve production issues, participate in the shared on-call rotation, and maintain technical documentation and runbooks.
Direct and oversee contractors and implementation partners, review their work, and ensure knowledge transfer to CLR employees.
Perform other duties as assigned.