Enterprise AI Enablement Engineer

Crane Worldwide Logistics LLC; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Quarterly Incentive Plan

136 hours PTO per year

Job summary

Crane Worldwide Logistics LLC in Houston is seeking an experienced AI platform engineer to configure, extend, and secure enterprise AI solutions. You will manage integrations, IAM, licensing, and cost controls while automating deployments through code, APIs, and CI/CD pipelines.

You will evaluate new capabilities, build MCP servers and connectors, and advise users on responsible AI usage and security considerations within an enterprise setting.

Qualifications

• Hands-on with modern AI platforms (Claude, Copilot, Gemini, ChatGPT).
• Experience developing API integrations, automation scripts, or lightweight services.
• Working knowledge of IaC, GitHub Actions, CI/CD, Terraform or equivalents.
• Understanding REST APIs, authentication, authorization, and enterprise security.
• Familiarity with LLM capabilities, agentic tool use, risks and controls.
• Bachelor’s degree in a technical field or equivalent experience.

Responsibilities

• Configure, administer, and extend enterprise AI platforms and integrations.
• Manage platform integrations, IAM, licensing, and cost controls.
• Automate platform configuration and deployment via code, APIs, and CI/CD.
• Evaluate and operationalize new platform capabilities with risk balance.
• Develop MCP servers, API wrappers, connectors, and lightweight integrations.
• Advise on responsible use and security of platform features and tools.
• Employ testing, source control, deployment automation, and monitoring.

Skills

AI platforms

API integrations

Terraform

GitHub Actions

CI/CD

REST/Security

Troubleshooting

Education

Bachelor's degree in technical field

Tools

Terraform

GitHub Actions

Job description

Configure, administer, and extend enterprise AI platforms, including Claude, Microsoft Copilot, Google Gemini, and emerging tools.

• Manage platform integrations, identity and access controls, security settings, licensing, and cost controls.
• Automate platform configuration and deployment where supported using infrastructure as code, APIs, version control, and CI/CD pipelines.
• Rapidly evaluate and operationalize new platform capabilities, balancing speed, business value, and enterprise risk.

AI integrations and extensibility

• Develop, deploy, and maintain MCP servers, API wrappers, connectors, and lightweight integrations that securely expose enterprise systems and capabilities to AI platforms.
• Advise business and technology users on the responsible use of native platform capabilities, including skills, plugins, artifacts, agents, MCP servers, and workflow automation.
• Apply sound engineering practices, including testing, source control, deployment automation, and operational monitoring, to platform extensions and integrations.
• Troubleshoot integration failures, authentication issues, unreliable tool behavior, and other technical challenges.

Security and governance

• Identify and mitigate risks involving sensitive data, high-impact transactions, excessive permissions, prompt injection, autonomous actions, and third-party integrations.
• Partner with Security and IT to implement and maintain controls for data access, information protection, auditing, and agent governance.
• Engineer practical, policy-driven guardrails that maximize employee autonomy and accelerate innovation while keeping risk within acceptable boundaries.

Technical enablement and continuous improvement

• Proactively engage business units to identify high-value AI opportunities and rapidly help employees implement solutions, preferring deterministic approaches where appropriate.
• Provide hands-on technical guidance, demonstrations, and reusable resources that accelerate independent adoption.
• Implement telemetry to measure platform utilization, solution effectiveness, costs, and business outcomes.
• Recognize when requirements warrant dedicated application engineering rather than general-purpose AI platform capabilities.

Other Skills/Abilities

• Strong technical troubleshooting, problem-solving, and solution design skills.
• Ability to translate business requirements into practical technical solutions and communicate effectively with technical and nontechnical stakeholders.
• Demonstrated bias toward action, sound risk judgment, technical curiosity, and comfort operating in an environment that values rapid experimentation and employee autonomy.

Physical Requirements

• Talking, hearing and using hands to operate a computer keyboard, mouse and other computer components
• Sitting for extended periods of time
• Vision abilities required by this job include close vision and the ability to adjust focus.
• Job may require punctual attendance and regular presence on-site at the assigned work location.

Education and Experience

Required qualifications

• Hands-on experience with modern AI platforms such as Claude, Microsoft Copilot, Google Gemini, or ChatGPT, including their capabilities and extensibility.
• Experience developing API integrations, automation scripts, or lightweight services using established software engineering practices.
• Working knowledge of infrastructure as code, GitHub Actions, CI/CD pipelines, and Terraform or comparable tools.
• Understanding of REST APIs, authentication, authorization, and enterprise security principles.
• Familiarity with LLM capabilities, agentic tool use, limitations, and associated security risks.
• Strong technical troubleshooting, problem-solving, and solution design skills.
• Bachelor's degree in a technical field or equivalent practical experience.

Preferred qualifications

• Experience administering enterprise AI platforms and configuring identity, access, and data protection controls, including SSO, SCIM, RBAC, and DLP.
• Experience building MCP servers using FastMCP or similar frameworks, including exposing existing APIs as AI-accessible tools.
• Experience with AI gateways such as LiteLLM, Bifrost, or GCP Apigee AI Gateway, including configuration management through Terraform.
• Experience with Copilot Studio, Power Platform, Claude Code, Google Workspace automation, or similar AI development environments.
• Familiarity with cloud infrastructure, serverless computing, and lightweight service deployment.
• Experience implementing AI governance, agent lifecycle management, observability, or evaluation practices in an enterprise environment.
• Experience in logistics, supply chain, or another operationally complex industry.

WHY SHOULD YOU WORK FOR CRANE?

At Crane, we believe in providing our employees with excellent benefits at a Great Place to Work.

We offer:

• Quarterly Incentive Plan
• 136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use
• Excellent Medical, Dental and Vision benefits
• Tuition Reimbursement for education related to your job
• Employee Recognition and Rewards Program
• Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities
• Employee Discounts
• Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates

Come join the leader in logistics and take your career in the right direction.

Disclaimer:

The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We maintain a drug-free workplace and perform pre-employment substance abuse testing.

This position requires the final candidate to successfully pass an E-Verify Check.

Company benefits are contingent upon meeting eligibility requirements and plan conditions.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.