Energy Job Search · 1 day ago
Software Engineer - Enterprise AI
Houston, TX
Full-time
Onsite
Senior Level
5+ years expChevron is seeking a Software Engineer - Enterprise AI to join their team and shape the future of intelligent decision-making and AI transformation. The role involves designing and building applications that integrate advanced AI capabilities and collaborating with cross-disciplinary teams to develop scalable and secure solutions.
Staffing & Recruiting
No H1B
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
Qualification
Required
Bachelor's 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, Java, 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
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
Company
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201-500 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase