AI Enablement Engineer

Company Summary:

Fermi America is pioneering the development of next-generation energy infrastructure to power the future of artificial intelligence. By delivering highly reliable, gigawatt-scale power solutions, we are helping meet the rapidly growing energy demands of advanced AI technologies. Our flagship HyperGrid™ campus in Amarillo, Texas, is designed to become one of the world's largest energy-driven AI complexes, integrating nuclear, natural gas, utility, solar, and battery power. With a planned 17 gigawatts of power capacity and 18 million square feet of AI infrastructure, Fermi America is positioned to play a leading role in the future of energy and artificial intelligence. At Fermi America, we are building more than infrastructure. We are creating opportunities for talented professionals to help shape the next generation of energy and AI innovation.

Job Summary:

You will help Fermi employees turn the apps, dashboards, automations and processes they build with Claude and ChatGPT into solutions that connect correctly and securely to Fermi’s systems and data. Provide the patterns, guardrails and hands-on support that take business users from a working prototype to a trusted, supported tool, accelerating innovation while managing security, data and operational risk.

Responsibilities:

• Work hands-on with employees to review and integrate the apps, dashboards, automations and processes they build in Claude and ChatGPT, connecting them to approved data sources, APIs and enterprise systems through secure, supported patterns.
• Build and maintain reusable integration templates, connectors and reference patterns (for example, authenticated API access, MCP servers, custom GPT actions and governed data-warehouse queries) so common use cases become self-service.
• Define and apply security standards for AI-built solutions, including identity and access, secrets and credential handling, data classification and protection, connector and agent permissions, and human oversight of automated actions. Partner with Cybersecurity on reviews.
• Run a lightweight, risk-based path from prototype to production covering intake, review, testing, deployment, monitoring and registration, with clear ownership and support expectations. Escalate solutions that need professional engineering ownership.
• Partner with Enterprise Data & AI so solutions use authoritative data, follow approved integration patterns and avoid uncontrolled copies of sensitive data.
• Coach employees through office hours, guides and training on building with Claude and ChatGPT correctly and securely. Track adoption, usage and cost of enterprise AI workspaces and connectors, and recommend reuse or consolidation.