Artificial Intelligence Engineer - Onsite

. Crane Worldwide Logistics . • Houston, TX

1d • Onsite

About The Position

The AI Engineer drives evaluation and adoption of new technologies and engineering approaches at Crane. The role works directly with technology leadership to prototype approaches, advise technical and business teams adopting new tools, and help evolve the technology stack for smooth AI integration. The engineer prioritizes valuable use cases with measurable outcomes and favors simple solutions when added complexity is unnecessary.

The position leads technical development and exploration for a small number of high-value, clearly scoped AI proof-of-concept use cases, then partners with engineering teams to turn successful proofs of concept into enterprise-scale, production-ready solutions. It also works with technical leadership to shape data and software architecture for developers and AI agents/models, and helps establish an AI platform approach covering observability, testing and evaluations, authentication and authorization for model plugins and tools, cost management, and flexible model adoption.

The role supports business teams with vendor evaluations and project rollouts, advises on technical guardrails, examines vendor implementations, and identifies opportunities to replace higher-cost custom vendor offerings with commoditized tools to reduce lock-in or cost. It also works with technical teams on structured adoption of AI workflow enhancements, such as standardized development copilots that accelerate development and review while minimizing low-quality output. Other duties may be assigned.

Requirements

• Bachelor's degree in a STEM field (Science, Technology, Engineering, Math).
• 3+ years of programming in a team context.
• Strong understanding of data and backend fundamentals, including compute, storage, and streaming.
• Comfort with front-end development.
• Hands-on experience using AI tools in a developer workflow.
• Hands-on experience managing and deploying cloud resources.
• Comfort presenting to developers and engineers in a group context.

Nice To Haves

• Strong experience with repeatable deployment and development patterns using infrastructure as code (IaC), Docker, and similar tools.
• Experience implementing machine learning or optimization projects.
• Hands-on experience implementing LLM-based tools in a business context.

Responsibilities

• Lead technical development and exploration for a small number of high-value, clearly scoped AI proof-of-concept use cases.
• Partner with engineering teams to turn successful proofs of concept into enterprise-scale, production-ready solutions.
• Work with technical leadership to shape data and software architecture for developers and agents/models.
• Help establish an AI platform approach for observability, testing and evaluations, authentication and authorization for model plugins and tools, cost management, and flexible model adoption.
• Work with business teams on vendor evaluations and new project rollouts.
• Advise on necessary technical guardrails.
• Examine vendor implementations and identify opportunities to replace higher-cost custom offerings with commoditized tools to reduce lock-in or cost.
• Work with technical teams on structured adoption of AI workflow enhancements, including standardized development copilots.
• Perform other duties as assigned.

Benefits

• Quarterly Incentive Plan.
• 136 hours of paid time off (17 days per year), usable for sick time or personal use.
• Medical, dental, and vision benefits.
• Tuition reimbursement for education related to the job.
• Employee referral bonuses.
• Employee recognition and rewards program.
• Paid volunteer time.
• Employee discounts.
• Wellness incentives of up to $100 per year for completing challenges, plus a discount on contribution rates.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level