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Principal OT AI Solution Architect
Chevron
Houston, USA
Full-time
Senior
Onsite
Discovered 1 weeks ago
azure
Key Skills for This Role
azure
Full Job Posting
Required Qualifications
- BS in Engineering, Computer Science, Data Science or a related field, or equivalent experience.
- 8 or more years of experience in operational technology, industrial automation or industrial AI, including significant responsibility for solution architecture.
- Demonstrated experience architecting, deploying or governing AI and machine learning solutions in operational or safety-adjacent environments.
- Experience with model lifecycle management, including validation, versioning, monitoring, drift detection, retraining, rollback and retirement.
- Experience defining AI safety guardrails, human-in-the-loop controls, fallback behavior and operational acceptance criteria.
- Experience designing edge AI solutions for constrained, intermittently connected or disconnected industrial environments
- Working knowledge of OT cybersecurity, the Purdue reference model and ISA/IEC 62443 zone and conduit concepts as applied to AI systems.
- Understanding of AI data requirements, including provenance, quality, labeling, contextualization, privacy, retention and secure movement.
- Working knowledge of Microsoft Azure AI and machine learning services and hybrid or on-premises deployment patterns.
- Ability to communicate AI design decisions, alternatives, risks and consequences to engineers, data scientists, cyber reviewers, operators and business sponsors.
- Demonstrated ability to reach a defensible technical verdict on AI vendors, platforms and models by distinguishing claims from verified capability.
Preferred Qualifications
- MS in Engineering, Computer Science, Data Science or a related field.
- Experience architecting generative AI, agentic AI or multimodal systems for operational environments.
- Experience with computer vision, physical AI, robotics, drones or autonomous systems in industrial settings
- Experience with MLOps platforms and model lifecycle automation across cloud, on-premises and edge environments.
- Experience with responsible AI practices, model risk management, explainability, bias testing and assurance evidence.
- Experience creating curated, labeled or synthetic industrial datasets for training and evaluation.
- Familiarity with industrial semantic models, knowledge graphs, digital twins or asset context used to ground AI solutions.
- Experience with edge AI accelerators, containerized inference and orchestration approaches for industrial environments.
- Experience designing AI observability, performance monitoring and incident response processes.
- Upstream, midstream or downstream domain experience and comfort working directly with asset and operations personnel.
- Experience operating within a stage-gated AI evaluation process and publishing a no-go decision as readily as a go decision.
- Relocation Options:
- Relocation will not 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 [email protected].
- Chevron participates in E-Verify in certain locations as required by law.
About Chevron
Energy10,001+Founded 1879
Chevron is a multinational energy corporation engaged in the exploration, production, refining, and marketing of oil and natural gas, as well as chemical manufacturing and renewable energy investments.
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