Chevron is looking to ensure that AI systems are fair, transparent, accountable, and aligned with ethical principles
Requirements
- Experience working with interdisciplinary teams (e.g., legal, policy, UX) to embed Responsible AI principles
- Familiarity with data governance frameworks and enterprise compliance standards (e.g., GDPR, CCPA)
- Experience developing and evaluating machine learning models using Python and libraries such as scikit-learn, TensorFlow, or PyTorch
- Experience with generative AI or agentic AI frameworks, tools, or applications
- Knowledge of fairness, interpretability, and robustness techniques in AI
- Experience with enterprise AI platforms (e.g., Azure ML, Databricks, DataRobot)
Responsibilities
- Apply frameworks to assess fairness, transparency, and accountability in AI systems, vendors and use cases
- Conduct ethical risk assessments and impact analyses for AI use cases, including alignment with regulations such as the EU AI Act
- Influence the development and adoption of tools and methodologies to detect and mitigate bias, drift, and unintended consequences in machine learning models
- Assist in AI Discovery and maintain an inventory of AI models across the enterprise and ensure proper documentation and lifecycle governance
- Contribute to the design and enforcement of governance metrics and assurance processes for AI systems
- Define and report key AI Governance KPIs to senior leaders in the data organization
- Partner with cross-functional teams to integrate Responsible AI principles into product development and deployment workflows
Other
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
- Minimum 5 years of professional experience in data science, analytics, or AI roles
- Strong communication and presentation skills to convey complex technical concepts to diverse audiences
- Relocation may be considered
- Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position
