Enterprise AI Enablement Engineer

. Crane Worldwide Logistics . • Houston, TX

1d

About The Position

The Enterprise AI Enablement Engineer configures, administers, and extends enterprise AI platforms, including Claude, Microsoft Copilot, Google Gemini, and emerging tools. The role manages integrations, identity and access controls, security settings, licensing, and cost controls, and automates configuration and deployment using infrastructure as code, APIs, version control, and CI/CD where supported. It evaluates and operationalizes platform capabilities while balancing business value, speed, and enterprise risk.

The engineer develops and maintains MCP servers, API wrappers, connectors, and lightweight integrations that securely expose enterprise systems to AI platforms. The role advises users on responsible use of platform features and applies sound engineering practices to extensions, including testing, source control, deployment automation, monitoring, and troubleshooting.

Working with Security and IT, the engineer identifies and mitigates AI-related risks and implements controls for data access, information protection, auditing, and agent governance. The position also engages business units to identify AI opportunities, provides hands-on guidance and reusable resources, measures utilization and outcomes, and recognizes when needs call for dedicated application engineering rather than general-purpose AI platforms.

Requirements

• Hands-on experience with modern AI platforms such as Claude, Microsoft Copilot, Google Gemini, or ChatGPT, including their capabilities and extensibility.
• Proficiency in Python, TypeScript, JavaScript, or a comparable programming language.
• 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.
• 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 with rapid experimentation and employee autonomy.
• Bachelor's degree in a technical field or equivalent practical experience.

Nice To Haves

• 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.

Responsibilities

• 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 using infrastructure as code, APIs, version control, and CI/CD pipelines where supported.
• Evaluate and operationalize new platform capabilities while balancing speed, business value, and enterprise risk.
• 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 responsible use of native platform capabilities, including skills, plugins, artifacts, agents, MCP servers, and workflow automation.
• Apply 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.
• 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 support employee autonomy and innovation while keeping risk within acceptable boundaries.
• Engage business units to identify high-value AI opportunities and help employees implement solutions, preferring deterministic approaches where appropriate.
• Provide hands-on technical guidance, demonstrations, and reusable resources to 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.
• Communicate effectively with technical and nontechnical stakeholders and translate business requirements into practical technical solutions.
• Perform other duties outside normal responsibilities as needed.

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