Top 10 Companies Hiring AI Engineers in Midland, TX in 2026

Table of Contents

• Beyond Job Boards: AI Careers in Midland
• Chevron
• ExxonMobil
• Occidental Petroleum
• Diamondback Energy
• ConocoPhillips
• Halliburton
• SLB
• Baker Hughes
• Enverus
• Permian Resources
• Navigating Your AI Path in Midland
• Frequently Asked Questions

Chevron

Chevron’s Midland operation is far more than an oilfield office; it’s a designated "High-Tech Hub" where AI is integrated into the local Integrated Operations Center. Engineers work with some of the planet's largest industrial datasets, applying machine learning to physical assets that produce millions of barrels of energy, as showcased in Chevron's video on AI in the Permian.

The tech environment is built for scale, utilizing an Azure-based MLOps foundation, Python, Spark, and proprietary digital twin platforms. Projects are monumental, ranging from autonomous drilling and predictive maintenance for multimillion-dollar equipment to computer vision for real-time site safety. This expansion of AI capability is part of a broader industry movement, with companies investing billions into operational intelligence.

With estimated salaries for AI roles ranging from $125,000 to over $220,000, the compensation matches the immense impact. The work is for builders who want to see their algorithms operate in the rugged, high-stakes environment of the Permian, making Chevron's hub the deepest and most established pond for AI talent seeking to manipulate the physical world at an industrial scale.

ExxonMobil

ExxonMobil’s XTO Energy division leverages its unparalleled scale to build AI models that learn across the entire Permian Basin. The focus is on large-scale reservoir modeling, automated well-log interpretation, and optimizing complex regional logistics, representing a key theme in Big Oil's strategic shift toward data-driven operations.

Their tech stack is engineered for massive computational workloads, employing Python with scikit-learn and PyTorch, Snowflake, and high-performance computing clusters. The unique advantage is developing "Permian-wide" ML models that ingest data from thousands of wells simultaneously, leading to breakthroughs in well spacing and completion designs that smaller operators cannot replicate.

Salaries for AI engineers at this level are highly competitive, with estimates between $130,000 and $210,000. For professionals fascinated by geospatial data and the challenge of modeling earth systems at a macro scale, XTO offers a powerful platform where your work defines optimization across one of the world's most critical energy landscapes.

Occidental Petroleum

Occidental Petroleum stands apart through its strategic pivot toward a sustainable future, with AI teams at the forefront of this mission. Through its Oxy Low Carbon Ventures division, OXY is a leader in applying AI to carbon capture and storage modeling and enhanced oil recovery, positioning itself at the convergence of energy and environmental technology.

The company operates a centralized AI/ML "Center of Excellence" that embeds engineers directly into Permian business units. Projects are critically important, spanning production forecasting and using natural language processing to navigate complex regulatory compliance documents, ensuring tight integration between domain expertise and technical innovation.

Compensation reflects the seniority and specialization required, with transparency provided on platforms like Levels.fyi. Lead Machine Learning Engineer salaries range from $170,000 to $265,000, while Senior Engineers earn between $150,000 and $220,000. The interview process is rigorous, involving ML theory, system design for real-time data, and a deep domain interview, making it a destination for those who want their AI work to have a definitive environmental impact.

Diamondback Energy

As a pure-play Permian operator, Diamondback Energy moves with remarkable speed, and its expanding Data Science and Automation teams in Midland are central to its drive for efficiency. The work is intensely operational and immediate, focusing on real-time SCADA visualization enhancements, automated petrophysical interpretation, and drilling automation, as seen in their active hiring for technical roles.

The tech stack is built for direct integration with industrial control systems, utilizing SCADA-integrated ML pipelines, Python, and cloud-based petrophysical platforms. This setup allows for the rapid deployment of models that directly influence daily drilling and production schedules.

Roles like Data Science Geologist/Engineer and Senior Automation Engineer offer salaries from $90,000 to over $160,000. The unique advantage is the tangible, rapid impact; you will see your models directly shape the operations of one of the basin's most active players, making it perfect for engineers who thrive in a high-velocity, results-driven culture.

ConocoPhillips

ConocoPhillips maintains a mature and practical AI operation in Midland with a clear, applied focus on digital transformation and asset reliability. Their projects target high-value, field-level problems like predicting pump failures and optimizing production through SCADA-driven models, embodying a pragmatic approach to industrial AI.

The technology foundation is robust, centered on Python, a hybrid AWS/Azure cloud environment, and established MLOps pipelines designed for stability and real-world deployment. This focus ensures engineers develop solutions that frontline operators will use daily to keep massive industrial operations running smoothly.

Salaries for software and machine learning roles in Midland are strong, with estimates from $106,000 to $168,000, according to salary data from Indeed. This compensation reflects the value of their applied work. The culture prioritizes reliable, field-tested solutions, making it an ideal environment for pragmatic builders who want to deploy stable AI systems that have an immediate, tangible impact on operational efficiency.

Halliburton

Halliburton approaches AI from a unique angle in the Permian: as a premier technology and service provider to the entire industry. Through its Landmark division and the DS365.ai platform, the company builds enterprise-level AI tools that become the operational standard for multiple clients, focusing on a unified framework that encompasses DataOps, MLOps, and DevSecOps.

Projects are groundbreaking and product-focused, including the development of autonomous drilling platforms like LOGIX® and digital twins for wellbore stability. This work has positioned Halliburton as a recognized leader, featured in industry analyses like the one from Oil & Gas Middle East on top AI companies in energy.

Salaries for engineers developing these scalable platforms are competitive, estimated between $115,000 and $190,000. The work offers a distinctive blend of deep energy domain knowledge and the challenge of building product-grade AI solutions, ideal for those who want to architect the tools that define how an industry operates.

SLB

SLB’s identity as a global technology leader fundamentally shapes its AI work in Midland. Engineers here operate within the sophisticated Delfi cognitive exploration and production environment, working on projects that frequently serve as pilots for worldwide deployment, ensuring their West Texas work has international influence.

The work resides at the cutting edge of energy tech, utilizing deep learning for seismic interpretation and Kubernetes-based MLOps to manage complex, compute-intensive workflows. Projects are diverse and foundational, spanning from computer vision applications for rig safety to automated reservoir characterization, tackling some of the most challenging problems in subsurface analysis.

With salaries for these specialized roles ranging from $120,000 to $200,000, SLB attracts professionals who want to be at the intersection of advanced AI and geoscience. It represents a career path for those with a global mindset and a passion for developing the foundational technology that will define energy extraction worldwide, making Midland a critical node in their international innovation network.

Baker Hughes

Positioning itself firmly as an "Energy Technology" company, Baker Hughes employs AI as a core tool to boost efficiency and reduce the carbon footprint of Permian Basin operations. Their projects are deeply integrated with physical machinery, tackling challenges like building predictive maintenance models for complex turbomachinery and optimizing chemical injection processes through AI-driven systems.

The team structure is inherently cross-functional, requiring machine learning engineers to collaborate directly with mechanical, petroleum, and chemical subject matter experts. This close partnership ensures that algorithmic solutions are not only technically sophisticated but also physically viable and actionable in the field, bridging the gap between data science and engineering.

Salaries for these specialized, integrative roles are competitive, estimated between $110,000 and $185,000. As a major employer in the Midland tech ecosystem, Baker Hughes offers a compelling environment for AI engineers fascinated by mechatronics, IoT, and the challenge of making heavy industrial equipment smarter, more reliable, and cleaner.

Enverus

Enverus operates at the critical intersection of energy and information, providing SaaS analytics that inform every major operator in the Permian. While offering notable remote flexibility, its substantial Midland presence ensures engineers have direct access to massive proprietary datasets covering basin-wide production, leasing, and economics - some of the most valuable in the energy world.

The work is fundamentally algorithmic and high-stakes, involving the construction of sophisticated recommendation systems for land acquisition and predictive models that shape billion-dollar investment decisions. This places Enverus at the heart of strategic decision-making, as evidenced by the demand for such AI/ML engineering expertise in the region.

The tech stack is built for large-scale analysis and insight generation, leveraging Python, AWS, and advanced data engineering practices. Salaries reflect the premium on this data-centric work, with estimates ranging from $130,000 to $190,000. A role at Enverus is ideal for the AI engineer who is a data purist, excited by the challenge of deriving decisive intelligence from the complex datasets that drive the global energy market.

Permian Resources

Rounding out the landscape is Permian Resources, a fast-growing established operator that represents the opportunity to get in on the ground floor of a modern, tech-forward energy company. They are actively building their internal AI capabilities, as highlighted in their job posting for an AI Specialist, focusing on leveraging cutting-edge techniques rather than maintaining legacy systems.

Their current mission involves pioneering the use of Large Language Models and designing agentic AI workflows. Projects aim to develop sophisticated, multistep AI agents that support complex business processes and decision-support systems, moving beyond siloed predictive models toward integrated, intelligent automation.

With estimated salaries between $100,000 and $180,000, the role offers more than compensation; it provides the chance to architect the AI culture from its inception. This is the ideal fit for entrepreneurial engineers who want to move beyond implementing isolated models and instead design the intelligent, automated workflows that will define the next generation of agile energy companies.

Navigating Your AI Path in Midland

The landscape for AI in Midland is rich and structurally varied, from Chevron's industrial command center to Permian Resources' agile startup-like environment. The right choice is about finding your match: do you want to model carbon sequestration, build autonomous drilling platforms, or design the agentic workflows that streamline an entire department?

In Midland, your AI career works on the foundational problems that power the modern world, all while benefiting from the Texas advantage of no state income tax. This depth of opportunity, however, requires the right skills. For career changers and upskillers in the Permian Basin, building those skills has become more accessible through affordable, flexible pathways like the Solo AI Tech Entrepreneur Bootcamp or the AI Essentials for Work program, which focus on practical LLM integration, AI agents, and the Python foundations critical for these roles.

Look past the surface of any list. Find the structural contour that matches your skillset and ambition, acquire the necessary expertise, and cast your line. The depth of opportunity here is real, waiting for those who know how to navigate it.

Frequently Asked Questions