43 минуты назад
AI Enablement Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Enablement Engineer (AI): Building internal AI solutions, MCP integrations, shared agents, and agent infrastructure across Sales, Delivery, Finance, People, and Engineering with an accent on enterprise SaaS integration, secure authentication, and reusable enablement patterns. Focus on designing scalable agent workflows, improving AI cost visibility through prompt caching and model routing, and enabling teams to build and operate solutions independently.
Location: Remote in the United States or Canada
Company
builds AI-powered customer service agents and conversation intelligence for contact centers, using LLMs and voice AI at enterprise scale.
What you will do
- Establish a safe, standardized operating model for Claude Enterprise and ’s AI Operating System.
- Build reusable AI workflows, shared skills, templates, and agent specifications.
- Develop AI literacy programs, office hours, and internal champions with the People team.
- Partner with Sales, Delivery, Finance, People, and Engineering to build solutions around their workflows.
- Own MCP integrations, shared agents, agent identity management, and connections to commercial tools.
- Build cost visibility, consolidate redundant tools, identify shadow AI, and optimize spend through prompt caching, model routing, and agent design.
Requirements
- 5+ years of hands-on experience as a Systems Engineer, Solutions Engineer, IT Engineer, or similar role at a SaaS or cloud-native company.
- Experience deploying and optimizing AI tools at company scale, including consulting-style discovery, scoping, sequencing, and expectation management.
- Technical experience with scripting and integrations in Python, TypeScript, or shell.
- Knowledge of SDLC fundamentals, MCP, agent frameworks, secure authentication, retrieval, and enterprise SaaS API integrations.
- Strong communication skills, with the ability to translate workflow problems into trusted working agents and explain technical sequencing to leadership.
- A multiplier mindset focused on creating safe, reusable solutions that teams can operate independently.
Culture & Benefits
- Remote-by-design, distributed work environment with flexible calendar management.
- Company-wide offsites and smaller team gatherings for in-person connection.
- Conference, book, and course funding through a technology and learning stipend.
- Flexible vacation, a paid sabbatical after five years, comprehensive benefits, and a physical and mental wellness stipend.
- Competitive compensation and equity in a fast-growing AI company.
- Culture centered on ownership, humility, collaboration, honest feedback, and self-reflection.
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