AI Engineer

Chevron•Houston, TX

About The Position

The Data Foundation and Modernization Department accelerates AI and data capabilities and is responsible to modernize data foundations with scalable frameworks that reduce costs and accelerate access to trusted data. As an AI Engineer on this team, you will partner with AI and Machine Learning Engineers across the company to deliver accelerators that empower teams to deliver enterprise scale AI and machine learning capabilities. You will set the standards and define the future of AI at Chevron.

Requirements

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.
Proficient in applying common design patterns, ability to communicate design ideas effectively.
Must have a disciplined, methodical, minimalist approach to designing and constructing layered software components that can be embedded within larger frameworks or applications.
Proficient at orchestrating large-scale data jobs, leveraging big data tooling and modern container orchestration infrastructure, to tackle 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 diagnoses, 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, such as source control versioning, requirement spec, architecture and design review, testing methodologies, CI/CD, etc.
Ability to engage business and technical experts at all organizational levels and assess opportunities to apply machine learning and analytics to improve their workflows and deliver information and insight to support business decisions.
Proven ability to take leadership role in projects that span multiple teams and ability to work with product managers to clarify and prune requirements.
Ability to build collaborative relationships across functional and geographic areas to plan, facilitate, and architect and develop scalable AI solutions for Chevron’s key business units and functions.
Ability to communicate in a clear, concise, and understandable manner both orally and in writing.