{"id":4269308,"url":"https://alion.io/job/diamondback-energy-ai-developer","title":"AI Developer","company":{"id":1973662,"name":"Diamondback Energy","domain":"diamondbackenergy.com","url":"https://alion.io/company/diamondbackenergy","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Model Context Protocol","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-08-27T00:00:00Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-11-13T17:21:30Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"CURRENT EMPLOYEES - Please apply using \"Jobs Hub\" in Workday. This career site is for external applicants only.\nThe AI Developer is a foundational member of Diamondback Energy's new AI team, responsible for building and deploying AI-powered applications, agents, and workflows that turn emerging AI capabilities into practical business value. Working across Microsoft Azure (including Azure Databricks and Azure AI Foundry), Snowflake, and Anthropic's Claude and Claude Agent SDK, the AI Developer will prototype, build, and productionize solutions spanning generative AI, agentic workflows, and applied machine learning. This role is intentionally broad: the ideal candidate brings a range of technical exposure, a strong foundation in software and data engineering, and - above all - genuine enthusiasm for learning new tools and approaches as the field evolves.Job Responsibilities:\nInclude but are not limited to\nDesign, build, and deploy AI-powered applications and autonomous/multi-agent workflows using large language models (Claude, Azure OpenAI models via Azure AI Foundry, and others)\nBuild and maintain data pipelines connecting Snowflake and Azure Databricks to AI/ML workflows (using tools such as dbt), ensuring models and agents operate on trusted, well-structured data\nDevelop and orchestrate agentic systems using the Claude Agent SDK and Azure AI Foundry Agent Service, including tool use, retrieval-augmented generation (RAG), and multi-step reasoning\nBuild evaluation harnesses and testing frameworks to measure model and agent quality, reliability, and safety before and after deployment\nRapidly prototype and evaluate emerging AI tools, models, and frameworks; recommend adoption where they add clear value\nPartner with data science, data engineering, IT, and business stakeholders to translate ambiguous needs into working, production-ready solutions\nSupport responsible AI practices, including data privacy, access control, and governance, within Azure and Snowflake environments\nRequired Qualifications:\nBachelor's Degree in Computer Science, Data Science, Engineering, Mathematics, or a related field\nTwo (2) to four (4) years of hands-on experience building and shipping software, data, or AI/ML applications in production\nStrong proficiency in Python, with experience writing tested, maintainable code\nWorking knowledge of SQL and experience with at least one cloud data platform (e.g., Snowflake, Databricks, or similar)\nHands-on exposure to building applications with large language models or generative AI APIs (e.g., Claude, OpenAI, Azure OpenAI, or similar)\nFamiliarity with software engineering fundamentals: version control (Git/GitHub), testing, CI/CD, and common design patterns\nStrong problem-solving and communication skills, with the ability to work effectively across data science, engineering, and business teams\nA demonstrated pattern of self-directed learning - picking up new tools, frameworks, and platforms quickly and enthusiastically\nComfort operating with ambiguity in a fast-evolving field, including a new team, evolving tools, and undefined processes\nPreferred Qualifications:\nDirect experience with Microsoft Azure services, particularly Azure Databricks and Azure AI Foundry\nDirect experience with Anthropic Claude, the Claude Agent SDK, or comparable agent development frameworks\nExperience with vector databases and embedding/chunking strategies for retrieval and semantic search\nExperience converting unstructured data (documents, PDFs, emails, images, etc.) into structured, queryable formats for AI/ML use\nExperience with dbt (data build tool) for building, testing, and documenting data transformation pipelines\nFamiliarity with the Model Context Protocol (MCP) or other tool-calling / agent orchestration patterns\nExperience with infrastructure-as-code, containerization, or cloud deployment practices\nExposure to the energy industry or other data- and asset-intensive industries\nContributions to open-source AI projects, personal AI projects, or active participation in the broader AI developer community\nDiamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. 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