Enterprise AI Engineer
Core
Administer, secure, and build agentic workflows on top of major enterprise AI platforms to drive adoption and governance across corporate functions.
Role type
Enterprise AI Platform Engineer (Enablement)
Builds
Autonomous agentic workflows, automation solutions, dashboards, and reports for AI platform usage and risk.
Domain
Cybersecurity / Enterprise AI / Cloud Collaboration
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Enterprise AI platform administration, agentic workflow development, identity/access management, scripting (Python, bash), data governance, API integrations
Preferred skills
Jira/Confluence administration, vendor security assessments
Technologies
Claude, ChatGPT, Gemini, LDAP/AD, Python, bash, Jira, Confluence
Responsibilities
Administer and configure enterprise AI platforms (user provisioning, workspace management, integrations); Design and build agentic workflows for corporate use cases; Manage identity and access controls; Enforce data governance and security policies; Build dashboards tracking usage, spend, and adoption metrics; Monitor platform health and performance.
Seniority
Mid-level, hands-on IC
