AI Enablement Engineer, IT

me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. me once and seamlessly login across websites without having to create a new login and verify their identity again. me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations.

me to verify communities and user segments to honor service and build more authentic relationships. me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity.

me/ . me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL.

Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings. me, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences.

Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here . Role Overview We are seeking an AI Enablement Engineer to join our new Corporate AI Enablement Efficiency team — the group responsible for turning AI from a buzzword into everyday leverage for the entire company. You will design and build the automations, integrations, and AI agents that connect our applications, eliminate manual work, and help every team do more with the tools they already have.

Your work will directly shape how a 1,000-person organization adopts AI: safely, measurably, and at scale. You will wire up production workflows, connect systems through APIs, and stand up MCP servers, AI skills, and agents that give teams reliable, governed access to large language models. Other days you will be out in the business, spotting the manual, repetitive work worth automating and shipping solutions that stick.

Throughout, you will build like an engineer: real error handling, observability, evaluations, and guardrails — and you will keep Security and Data close so everything you ship stays compliant. ] You will work at the frontier of applied AI: agents, MCP, retrieval, and orchestration with the autonomy to build real things that of colleagues. If you love turning messy manual processes into elegant solutions and want to help define how a company puts AI to work, this is an exciting opportunity to make a meaningful impact.

Responsibilities

Design, build, and maintain end-to-end automations and integrations, connecting the company's applications, data, and AI services. Integrate systems through APIs and webhooks — handling authentication, rate limits, retries, and idempotency. Build AI-powered capabilities using large language models: structured outputs, retrieval-augmented generation (RAG), and tool / function-calling that automate real business processes.

Develop and maintain MCP servers and reusable AI skills and agents that give teams safe, governed access to internal systems and data. Instrument everything you build with logging, monitoring, evaluations, and guardrails, and resolve failures before users feel them.