IT PDC TPE IT - Software Engineer - Enterprise AI (FL 3-4, PSG 20-21, 1 Position)

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 Chevron’s 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 Chevron’s most critical business challenges.

Required Qualifications:

• Strong proficiency in one or more programming languages: Python, Jav, C#/.NET, or TypeScript/Node.js.
• 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.

Special Considerations:

Houston, Texas

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