AI Engineer
Chevron · Houston, TX
- On site
- Full-time
- $150,000 / year
- Houston, TX
Job highlights
- Develop enterprise-scale AI capabilities.
- Modernize data foundations with scalable frameworks.
- Collaborate with AI/ML engineers company-wide.
- Set AI standards for the future.
- Utilize Python and Azure cloud services.
About the role
AI Engineer
Chevron is accepting online applications for the position of AI Engineer. The application deadline is April 29, 2026, at 11:59 p.m. (Central Time).Overview
The Data Foundation and Modernization Department is at the forefront of accelerating AI and data capabilities. This team is responsible for modernizing data foundations with scalable frameworks that reduce costs and enhance access to trusted data. As an AI Engineer on this team, you will collaborate with AI and Machine Learning Engineers across the company to deliver accelerators that empower teams to build enterprise-scale AI and machine learning capabilities. Your role will involve setting standards and defining the future of AI at Chevron.Experience
- Experience with agentic AI frameworks and platforms.
- Experience implementing machine learning frameworks and libraries.
- Development experience with Python.
- Experience developing cloud-first solutions using Microsoft Azure Services.
- Experience building machine learning pipelines in Microsoft Azure Machine Learning service and/or Azure Databricks.
Skills
- Proficient in applying common design patterns and communicating design ideas effectively.
- Disciplined, methodical, minimalist approach to designing and constructing layered software components for integration into larger frameworks or applications.
- Proficient in orchestrating large-scale data jobs, leveraging big data tooling and modern container orchestration infrastructure for distributed training and massive parallel model executions on cloud infrastructure.
- Experience designing and implementing custom APIs.
- Experience implementing and incorporating solutions on unstructured data using cognitive services and/or computer vision as part of AI solutions and workflows.
- Knowledge of enterprise SaaS complexities including security/access control, scalability, high availability, concurrency, online diagnostics, deployment, upgrade/migration, internationalization, and production support.
- Knowledge of data engineering and transformation tools and patterns such as Databricks, Spark, Azure Data Factory.
- Mature software engineering skills, including source control versioning, requirement specification, architecture and design review, testing methodologies, and CI/CD.
- Ability to engage business and technical experts at all organizational levels to identify opportunities for applying machine learning and analytics to improve workflows and deliver insights.
- Proven ability to take a leadership role in cross-team projects and work with product managers to clarify and refine requirements.
- Ability to build collaborative relationships across functional and geographic areas to plan, facilitate, architect, and develop scalable AI solutions for Chevron’s key business units and functions.
- Clear, concise, and understandable communication skills, both oral and written.
Relocation and International Considerations
Relocation will not be considered for this position. Expatriate assignments will not be considered. Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.Key skills/competency
AI Engineer, Agentic AI, Machine Learning, Python, Microsoft Azure, Azure Machine Learning, Azure Databricks, Cloud Solutions, Data Pipelines, Cognitive Services, Computer Vision, Big Data, Container Orchestration, API Development, SaaS, Data Engineering, Spark, Azure Data Factory, Software Engineering, CI/CD.Skills & topics
- AI Engineer
- Artificial Intelligence
- Machine Learning
- Python
- Microsoft Azure
- Cloud Computing
- Data Engineering
- Big Data
- Software Engineering
- Chevron
How to get hired
- Tailor your resume: Highlight AI Engineer experience and Azure cloud skills.
- Showcase project impact: Detail your contributions to AI/ML solutions and data pipelines.
- Demonstrate Python proficiency: Provide examples of Python development for cloud solutions.
- Emphasize collaboration: Illustrate your ability to work with cross-functional teams.
- Prepare for technical interviews: Review agentic AI, ML frameworks, and Azure services.
Technical preparation
Master Python for AI development.,Practice Azure ML and Databricks pipelines.,Study agentic AI framework concepts.,Prepare API design and implementation examples.
Behavioral questions
Describe leading a cross-team project.,Explain how you assess ML opportunities.,Share an experience clarifying requirements.,Discuss building collaborative relationships.
Frequently asked questions
- What is the application deadline for the AI Engineer position at Chevron?
- The application deadline for the AI Engineer position at Chevron is April 29, 2026, at 11:59 p.m. Central Time. It is advisable to apply well before this date to ensure your application is considered.
- What specific AI frameworks and platforms are preferred for this AI Engineer role at Chevron?
- Chevron is looking for experience with agentic AI frameworks and platforms. While specific platforms aren't listed, demonstrating familiarity with cutting-edge AI technologies and their implementation will be beneficial for this AI Engineer role.
- Does Chevron offer relocation assistance for the AI Engineer position?
- No, relocation assistance is not offered for this AI Engineer position. Candidates must be able to work in the specified location without requiring relocation support.
- Will Chevron sponsor employment Visas for the AI Engineer role?
- Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this AI Engineer position. Candidates must be authorized to work in the United States.
- What is the primary focus of the Data Foundation and Modernization Department at Chevron?
- The Data Foundation and Modernization Department at Chevron focuses on accelerating AI and data capabilities by modernizing data foundations with scalable frameworks. Their goal is to reduce costs and improve access to trusted data, supporting enterprise-scale AI and machine learning initiatives.
- What programming language is essential for the AI Engineer role at Chevron?
- Proficiency in Python is essential for the AI Engineer role at Chevron. The job description explicitly states development experience with Python as a requirement.
- Which cloud platform is primarily used for this AI Engineer position at Chevron?
- The primary cloud platform emphasized for this AI Engineer position at Chevron is Microsoft Azure. Experience developing cloud-first solutions and building machine learning pipelines within Azure services is required.
- What kind of data engineering tools are relevant for the AI Engineer role at Chevron?
- Knowledge of data engineering and transformation tools and patterns such as Databricks, Spark, and Azure Data Factory is highly relevant for the AI Engineer role at Chevron. Familiarity with these tools will be crucial for building and managing data pipelines.