Engineer, AI Operations

H.I.G. Capital • Coral Gables, FL

6d • Onsite

About The Position

The AI Operations Engineer is responsible for the day-to-day administration, governance, and operational support of H.I.G. Capital’s AI technology stack. This role sits within the IT organization, reports to the Chief Information Security Officer (CISO), and works closely with the firm’s GenAI leadership, IT infrastructure team, and end users across investment and operations functions. The AI Operations Engineer ensures that AI platforms are provisioned securely, access controls are maintained, automation assets are governed and monitored, and end users receive timely support. The firm’s AI environment spans multiple platforms, including Anthropic Claude Enterprise, OpenAI, ChatGPT Enterprise, Microsoft Copilot, and specialized tools such as ToltIQ, ProSights, and other custom solutions deployed across the investment and operations teams. As H.I.G. scales its enterprise AI deployment, this role serves as the operational backbone: managing platform administration, enforcing security and compliance policies, governing the lifecycle of automation assets such as Skills, custom GPTs, and integrated workflows, delivering usage reporting, and troubleshooting issues across the environment. This is a hands-on operational role. The successful candidate will combine strong IT administration fundamentals with a working understanding of AI platforms and a service-oriented mindset.

Requirements

• Bachelor’s degree in Information Technology, Computer Science, Information Systems, Cybersecurity, or a related field.
• 3+ years of experience in IT operations, systems administration, IT security, or a related technical support function.
• Experience administering enterprise SaaS platforms, including user provisioning, access controls, and license management.
• Working knowledge of AI platforms such as Claude Enterprise, ChatGPT Enterprise, Microsoft Copilot, or comparable tools; hands-on administration experience preferred.
• Proficiency with IAM tools and concepts, including SSO (SAML/OIDC), SCIM provisioning, RBAC, and MFA enforcement.
• Familiarity with API fundamentals (REST APIs, authentication, rate limiting, webhooks) sufficient to troubleshoot integrations and monitor usage.
• Experience with reporting and data analysis tools (e.g., Excel, Power BI) to produce usage dashboards and spend reports.
• Strong organizational skills with the ability to manage multiple concurrent requests, prioritize effectively, and follow through on commitments.
• Clear written and verbal communication skills, with the ability to document processes, draft user-facing guides, and explain technical issues to non-technical stakeholders.
• Security-first mindset with an instinct for identifying access risks, policy gaps, and governance improvements.
• Genuine interest in AI and emerging technologies; comfortable learning new platforms quickly as the tooling landscape evolves.
• Service-oriented disposition with a commitment to responsive, high-quality support to internal users at all levels.

Nice To Haves

• Prior experience in a regulated or security-conscious environment (financial services, private equity, or professional services) preferred.

Responsibilities

• AI Platform Administration & Access Management: Administer enterprise AI platforms (Claude Enterprise, ChatGPT Enterprise, ToltIQ, ProSights, and other current and future tools) including user provisioning, license management, workspace configuration, and role-based access controls. Process access requests for AI tools, ensuring appropriate approvals are obtained and access levels align with the firm’s security policies and organizational hierarchy. Maintain an accurate inventory of AI tool licenses, entitlements, and user assignments; manage onboarding and offboarding in coordination with HR and IT. Enforce IAM policies specific to AI platforms, including SSO integration, MFA requirements, and session management.
• Automation Asset Governance & Lifecycle Management: Own the intake, review, and approval process for new AI automation assets, including Claude Skills, custom GPTs, MCP integrations, prompt/skills libraries, and other configurable automation components within the firm’s AI platforms. Maintain a centralized registry of all deployed automation assets, tracking ownership, version history, approval status, dependencies, and usage metrics. Enforce publishing and change management standards for automation assets, ensuring new or modified Skills, GPTs, and workflows are reviewed for security, data access, and compliance before promotion to production. Coordinate periodic reviews of deployed assets with GenAI leadership and asset owners to retire stale content, resolve conflicts, and maintain quality standards. Manage the compliance and security review process for all automation assets prior to distribution on AI platforms, including data access validation, sensitive information handling checks, third-party dependency review, and sign-off from information security and relevant business owners.
• End User Support & Enablement: Serve as the primary point of contact for AI platform questions, access requests, and troubleshooting, providing responsive support to users across the firm. Develop and maintain internal knowledge base articles, FAQs, and user guides for AI tools and automation assets, enabling self-service and reducing support volume. Assist with onboarding new users to AI platforms, including account setup, orientation to available tools and capabilities, and basic usage guidance. Coordinate with GenAI leadership and training partners to schedule and support AI training sessions and certification programs.
• Reporting, Monitoring & Compliance: Generate and distribute regular usage, adoption, and spend reports across AI platforms, providing actionable insights to IT leadership and GenAI stakeholders. Monitor platform health, API usage, rate limits, and cost metrics; flag anomalies and recommend optimization actions. Support compliance and audit requirements by maintaining access logs, documenting provisioning decisions, and ensuring AI usage aligns with the firm’s acceptable use and data governance policies. Track and report on AI-related security incidents, policy exceptions, and remediation actions in coordination with the CISO and information security team.
• Troubleshooting & Incident Management: Diagnose and resolve technical issues related to AI platform access, integrations, SSO/authentication, API connectivity, and automation workflow failures. Coordinate with platform vendors (Anthropic, OpenAI, ToltIQ, ProSights, and others) on escalated support tickets, service disruptions, and product-specific issues. Document known issues, workarounds, and resolution procedures to build an internal troubleshooting knowledge base. Participate in incident response for AI-related security events, supporting containment, investigation, and post-incident review.

What This Job Offers

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