Remote job
AI Platform Engineer
Job details
About this role
Role overview
Own the secure operation and adoption of enterprise AI tools, and build workflows that help employees handle common service requests and routine tasks. The role combines platform administration, access and policy governance, integrations, and agentic AI development. You’ll partner with IT, Security, and business teams to make AI useful across the organization while protecting systems and data.
Responsibilities - Configure and deploy enterprise AI tools, including single sign-on, access controls, and integrations with internal systems. - Build agentic workflows that automate recurring service requests, incidents, and operational tasks. - Monitor platform health, usage, and license allocation, and coordinate with vendors on escalated issues. - Work with IT and Security to apply data handling, retention, and compliance controls. - Lead AI tool rollouts from pilot to broader deployment, and maintain onboarding materials and self-service guidance. - Deliver training and support programs that help employees adopt AI effectively. - Maintain the employee productivity platform roadmap and assess emerging tools and capabilities.
Requirements - Bachelor’s degree in computer science, engineering, or a related field plus 5+ years of relevant experience, or a master’s degree plus 3+ years. - At least 3 years in AI/ML engineering, IT automation, or enterprise systems development. - Experience with agentic AI frameworks, workflow automation, or intelligent IT service management. - Experience with large language models and integrating retrieval-augmented generation into enterprise solutions. - Programming or scripting experience in Python, Java, or a similar language. - Experience applying security and compliance controls to AI or automation solutions. - Familiarity with IT operations, incident management, enterprise ticketing, Agile, DevOps, and CI/CD. - Ability to create user documentation, support onboarding, or deliver technical training.
Nice to have - Experience deploying enterprise AI platforms and building secure, permission-aware integrations with collaboration and productivity systems. - Familiarity with APIs, Model Context Protocol, or tools for coordinating AI agents and enterprise workflows.
Benefits and work setup - Hybrid schedule requiring at least two days per week in an office; the weekly schedule may vary by team.