SeniorAIEnablementEngineer

## Accountabilities Evaluate, select, and deploy AI tools and platforms that improve productivity across business functions, ensuring smooth configuration, secure integration, and strong adoption. Identify high-impact workflows across product, engineering, operations, sales, and support teams that can be accelerated or automated using AI capabilities. Configure and maintain AI tooling infrastructure, including authentication, access control, and compliance requirements in regulated environments. Build lightweight scripts, integrations, and automations (including MCP-style connectors where needed) to bridge gaps between off-the-shelf tools and real-world workflows. Reduce friction for non-technical users by simplifying setup, packaging environments, and enabling self-service access to AI tools. Collaborate closely with cross-functional stakeholders to translate business needs into working AI-powered solutions. Create clear documentation, training materials, and enablement resources to drive adoption and ensure consistent usage across teams. Monitor, troubleshoot, and iterate on AI tools and workflows based on user feedback and performance needs. Stay current with emerging AI technologies and proactively introduce new capabilities that improve efficiency and output quality. Requirements 5+ years of experience in software engineering, IT, product enablement, or technical operations roles involving hands-on systems building or automation work. Strong understanding of modern AI tooling, including LLMs, coding assistants, automation platforms, APIs, and integration frameworks. Proven experience deploying or managing tools in secure or compliance-sensitive environments (e.g., HIPAA, SOC 2, enterprise security contexts). Hands-on experience with enterprise infrastructure such as identity management (SSO, OAuth, SCIM), secrets management, or cloud platforms. Ability to build lightweight tools, scripts, or integrations to extend AI capabilities into real workflows. Strong pro