AI Enablement Engineer, IT McLean, Virginia; Mountain View, California,

Company Overview

is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with  once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with  at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations.

More than 600+ consumer brands use  to verify communities and user segments to honor service and build more authentic relationships. ’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.  is committed to “No Identity Left Behind” to enable all people to have a secure digital identity.

To learn more, visit (Use the "Apply for this Job" box below)..

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.

[Senior / P4 and above: you will also set the patterns, standards, and architecture the rest of the team builds on, and own our toughest build‑vs‑buy and platform calls.]

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.

• 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.
• Partner with teams across the company to identify high‑value automation and AI use cases, then scope, prioritize, and deliver them.
• Work with the Security and Data teams to ensure responsible, compliant handling of data, secrets, and AI usage.
• Contribute to build‑vs‑buy evaluations and help reduce software and license waste by consolidating or replacing tools with automation.
• Create clear documentation, templates, and enablement materials so your work scales beyond you.
• Set technical patterns, standards, and architecture for the team's automation and agent platform, and mentor other engineers.
• Own the architecture of the AI and automation estate and lead the team's most complex, cross‑functional initiatives. (Applies if the role is filled at the Lead level.)
• Perform other duties as assigned to meet team and organizational needs.

• 4+ years building integrations, automations, or software in a professional environment including production work with LLMs or AI agents.
• Hands‑on…