Software Engineer Enterprise AI

Chevron

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profile Job Location:

Houston, MS - USA

profile Monthly Salary: Not Disclosed
Posted on: 3 days ago
Vacancies: 1 Vacancy

Job Summary

Total Number of Openings

1

Chevron is accepting online applications for the position Software Engineer Enterprise AIthrough January 20 2026 at 11:59 p.m. (Central Time).

Join Enterprise AI at Chevron to shape the future of intelligent decision-making and AI transformation for the company. As a software engineer in this organization you will design and build applications and services that integrate advanced AI capabilitiesincluding agentic AI systems machine learning models and generative AI workflowsinto scalable secure and high-performance solutions.

This role is ideal for engineers passionate about modern software architectures AI-driven applications and solving complex business challenges through robust engineering practices. You will develop production-ready software architect solutions with a holistic AI foundation and create reusable components and frameworks that accelerate Chevrons AI ambitions.

Key Responsibilities

  • Architect AI-Enabled Solutions:
    Design and implement end-to-end software solutions that integrate AI/ML models and services to improve decision-making workflow automation and operational efficiency.
  • Develop and Deploy Applications:
    Build test and operationalize cloud-native applications using Microsoft Azure (App Services Functions AKS) and Databricks while maintaining flexibility to leverage other AI services as business needs evolve. Ensure solutions are scalable secure and future-proofed.
  • Enable Reusable Software Assets:
    Create modular reusable libraries APIs and templates that support multiple AI applications and accelerate delivery across the enterprise.
  • Collaborate Across Disciplines:
    Work as part of AI delivery teams including data scientists AI engineers and applied scientists to integrate AI capabilities into production systems.
  • Cloud-Native Engineering & DevOps:
    Implement Chevron standards and best practices for CI/CD infrastructure-as-code and automated testing using Azure DevOps Git and containerization tools.
  • Quality Security & Observability:
    Apply secure coding practices automated testing and monitoring to ensure reliability and compliance.
  • Innovation and Continuous Learning:
    Stay ahead of emerging trends in agentic AI generative AI and modern software engineering applying cutting-edge techniques to Chevrons most critical business challenges.

Required Qualifications:

  • Bachelors degree in computer science Engineering or a related field (or equivalent experience).
  • 5 years of prior experience as a software engineer building cloud-native applications in enterprise environments.
  • Strong proficiency in one or more programming languages: Python Jav C#/.NET or TypeScript/.
  • Skilled in designing and implementing cloud-native solutions using a wide stack of Microsoft Azure services including Azure App Services Azure. Functions Azure DevOps Azure Data Factory Azure SQL Database among others.
  • Solid understanding of software design patterns API development event-driven architectures and secure coding practices.
  • Familiarity with DevOps CI/CD pipelines automated testing frameworks and container orchestration (e.g. Docker Kubernetes).

Preferred Qualifications:

  • Experience with integrating AI/ML models into production applications.
  • Familiarity with agentic AI architectures LLM orchestration and vector search.
  • Knowledge of AzureML Databricks Genie and other AI platforms.
  • Experience with observability frameworks performance optimization and cost-efficient cloud design.
  • Relevant Microsoft Azure certifications.
  • Skilled in ability to design and implement security best practices and compliance requirements in the oil and gas industry.
  • Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.
  • Strong technical leadership and mentoring capabilities.

Relocation Options:

Relocation may be considered.

International Considerations:

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.

U.S. Regulatory notice:

Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religious creed sex (including pregnancy) sexual orientation gender identity gender expression national origin or ancestry age mental or physical disability medical condition reproductive health decision-making military or veteran status political preference marital status citizenship genetic information or other characteristics protected by applicable law.

We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation please email us at .

Chevron participates in E-Verify in certain locations as required by law.


Required Experience:

IC

Total Number of Openings1Chevron is accepting online applications for the position Software Engineer Enterprise AIthrough January 20 2026 at 11:59 p.m. (Central Time).Join Enterprise AI at Chevron to shape the future of intelligent decision-making and AI transformation for the company. As a softwar...
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Key Skills

  • SAP BusinessObjects
  • Enterprise Architecture
  • Hybris
  • SAP HANA
  • SAP
  • TOGAF
  • Solution Architecture
  • Cloud Architecture
  • SAP BW 4HANA
  • Salesforce
  • SAP S/4HANA
  • SAP ERP

About Company

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Chevron works to meet the world's growing demand for energy by exploring for oil and natural gas; refining and marketing gasoline; producing chemicals and more.

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