AI Enablement Engineer: Automations & AI Agents

ID.me

Washington (District of Columbia)

On-site

USD 103,000 - 142,000

Full time

14 days+

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Benefits offered by this job

Medical coverage

401(k) with company match

Unlimited PTO

Job summary

ID.me is seeking an AI Enablement Engineer to join our Corporate AI Enablement & Efficiency team. You will design, build, and deploy automations, integrations, and AI agents that connect our apps and data, eliminating manual work and enabling scale across a 1,000-person organization.

You will wire up production workflows, connect systems via APIs, and stand up MCP servers and reusable AI skills. You will spot repetitive tasks and ship durable solutions, with emphasis on reliability,

Qualifications

4+ years building integrations, automations, or software in a professional environment including production work with LLMs or AI agents.
Hands-on experience with workflow-automation.
Practical experience building with large language models: prompting, structured outputs, and at least one of RAG, tool / function-calling, or agents.
A production mindset - error handling, logging and observability, testing or evaluations, and secure handling of secrets and sensitive data.
Ability to work directly with non-technical colleagues: understanding a business process and translating it into a reliable, well-documented automation.
Understanding of data privacy, security, and responsible-AI considerations, and a habit of partnering with Security and Data teams.

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.
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.