AI Enablement Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Enablement Engineer based in United States. This is a foundational engineering role focused on making AI adoption safe, scalable, and practical across a distributed organization. You will design and build AI-powered workflows, integrations, agents, and infrastructure that help teams work more efficiently. As the first dedicated specialist in this function, you will have significant ownership in defining standards, reusable patterns, and enablement practices from the ground up. You will partner closely with teams across Sales, Delivery, Finance, People, Engineering, and other business functions to identify high-value opportunities. The role combines hands-on technical engineering with internal consulting, requiring you to translate business challenges into secure and effective AI solutions. You will also help establish AI literacy, develop internal champions, and create scalable foundations that allow teams to build independently. This is a remote-first opportunity for someone excited to shape how an organization adopts AI, agents, and emerging technologies at scale. Establish a safe, scalable, and repeatable AI enablement framework, defining where AI solutions should live, who can access them, and how they should be governed and managed. Build AI-powered workflows, agents, integrations, and internal productivity solutions that address real business needs across multiple functions. Develop and maintain MCP integrations, shared agents, agent identity management, and connections with enterprise SaaS and commercial systems. Partner directly with functional leaders and subject-matter experts to understand existing workflows, identify inefficiencies, and design practical AI-enabled improvements. Turn successful AI use cases into reusable templates, skills, agent specifications, and implementation patterns that other teams can adopt independently. Collaborate with Engineering to develop custom solutions and integrations where existing tools cannot address business or technical requirements. Create scalable enablement programs, including AI literacy initiatives, office hours, documentation, and internal AI champion networks. Establish and maintain standards for secure authentication, access management, integrations, retrieval, agent development, and AI usage. Develop continuous visibility into AI usage and costs, helping Finance identify redundant tools, shadow AI, and opportunities for optimization. Improve AI economics through techniques such as prompt caching, model routing, workflow optimization, and more efficient agent design. Diagnose business problems, scope and sequence technical initiatives, manage expectations, and deliver solutions that achieve measurable improvements. Act as a technical advisor and internal consultant, helping stakeholders understand AI capabilities, limitations, implementation considerations, and appropriate use cases. Requirements: 5+ years of hands-on experience as a Systems Engineer, Solutions Engineer, IT Engineer, or similar technical role within a SaaS or cloud-native organization. Demonstrated experience deploying, optimizing, and supporting AI tools or AI-enabled workflows at organizational scale. Strong technical range, including scripting and integration development using Python, TypeScript, and/or shell . Working knowledge of software development lifecycle fundamentals, API integrations, secure authentication, retrieval systems, and enterprise SaaS environments. Experience with MCP, AI agents, agent frameworks, LLM-based applications , or comparable emerging AI technologies. Ability to quickly learn unfamiliar technologies and apply them effectively to new technical and business problems. Strong consulting mindset, with the ability to diagnose the underlying business problem before determining the appropriate technical solution. Excellent communication skills an