AI Enablement Engineer

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.

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.
• Strong API fluency (REST / JSON, OAuth, webhooks) and the ability to read and write code in Python, Go, JavaScript / TypeScript or similar.
• 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.

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.

Compensation & Benefits

• Comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, unlimited paid time off, 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit.