Staff IT AI Implementation Engineer

Job description

Job responsibilities

• Administer and manage enterprise AI services — including frontier LLM platforms such as Claude Enterprise and ChatGPT Enterprise — ensuring availability, security, licensing compliance, and appropriate access controls.
• Design, build, deploy, and maintain AI agents and automated workflows that solve real business problems across departments.
• Serve as the company's primary point of contact for AI-related requests, project needs, and questions from all business units.
• Partner with department stakeholders to assess AI use cases, evaluate feasibility, scope solutions, and deliver implementations that align with IT standards and business objectives
• Collaborate with IT leadership to develop, maintain, and continuously improve the company's AI governance policies and acceptable use standards.
• Conduct ongoing compliance reviews ensuring all departments and AI-connected services adhere to established IT AI policies and security requirements.
• Evaluate and vet emerging AI tools, platforms, and services, providing recommendations for adoption, integration, or restriction.
• Coordinate with AI platform vendors on licensing, entitlements, technical onboarding, and support escalations.

Job requirements

• 3–5 years of experience in IT, systems administration, or a related technical discipline.
• 1–3 years of hands-on experience working with AI models, large language models, frontier AI services, or AI agent development.
• Foundational understanding of networking and cybersecurity principles to safely deploy and integrate AI services within the enterprise environment.
• Experience in managing virtualized environments. Such as hypervisors like ESX, HyperV, Proxmox, etc. Or containers like Docker/Kubernetes.
• Demonstrated experience deploying and managing AI tools or services in an enterprise environment.
• Proven ability to work cross-functionally and translate technical concepts for non-technical stakeholders.
• Experience contributing to technical policies, governance documentation, or compliance programs.
• Ability to independently manage multiple concurrent projects and priorities in a dynamic, fast-moving environment.