AI Enablement Engineer, IT

Role Overview AI Enablement Engineer – responsible for designing and building automations, integrations, and AI agents that simplify company processes, reduce manual work, and enable other teams to leverage existing tools more effectively. Role 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 (Lead level only). Perform other duties as assigned to meet team and organizational needs. Required Skills & Abilities 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. 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. Ideal Qualifications Experience building or deploying MCP servers, AI agents, or custom AI skills. Familiarity with the modern AI stack: orchestration frameworks, vector databases, and evaluation tooling. A portfolio of shipped automations or agents that shows production quality, not just prototypes. Experience integrating common business systems and their APIs (HRIS, ITSM, CRM, finance, and collaboration suites). Exposure to enterprise AI tools (AI copilots, chat assistants) and helping teams adopt them effectively. A track record of reducing software or license spend through automation or tool consolidation. Experience setting standards, mentoring engineers, or owning build‑vs‑buy and platform decisions. Strong written communication and documentation skills, and a bias toward making your work reusable. Benefits Medical, dental, vision, and health savings account. Flexible spending accounts (medical, dependent care, commuter benefit), basic and voluntary life and AD&D insurance. 401(k) with company match, parental leave, unlimited paid time off, 8 company‑wide holidays. Short‑term and long‑term disability insurance, accident and critical illness insurance, referral bonus policy. Employee assistance program, pet insurance, travel assistant program, well‑being and childcare discounts, benefit advocates. Learning and development benefit. Salary Mountain View, CA Pay Range

$154,347 – $170,709 USD

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