Senior AI Enablement Engineer at CloudZero · LumiJobs

Responsibilities

We are hiring a Senior AI Enablement Engineer. This is a technical role on the IT and Security team, but it is not traditional IT. Your job is to help every team at CloudZero do more with AI, and to make sure we can do it safely.
This is one of three related senior roles on our IT and Security team, each a single hire and each adding capacity. Our existing Senior IT & AI Systems Engineer owns core IT systems, identity, and employee lifecycle automation. Our Senior AI Data & Platform Engineer builds the data, retrieval, APIs, and agent runtime behind our AI. You focus on people and workflows: embedding with teams and shipping what they need on top of that foundation. An Associate AI Enablement Engineer will support all three. This posting is for one opening.
You are a generalist who uses AI every day to do far more than you could alone. You like hard problems, you like people, and you would rather ship something that works than write a slide about it.
We work automation first. A ticket is a signal that a system failed a person, and the third request for the same number is a data product that does not exist yet. Your job is to fix the upstream cause so the next ten people do not hit the same wall.
Partner with business teams to map their workflows, find the friction, and agree on AI enablement goals and success metrics before building anything.
Design, build, and run AI-powered workflows, agents, and automations that change how work gets done, from quick wins to production systems that teams rely on.
Integrate AI with the systems we run on (for example our CRM, finance, HR, support, collaboration, and data platforms) using APIs, MCP servers, iPaaS tools, and custom code.
Spot when a solution built for one team can help others and turn it into a reusable pattern, skill, or template.
Identify gaps in the platforms we need to deploy and govern AI safely, including identity and access, data access and classification, logging, evaluation, human review, and spend controls. Then build or buy and implement what is missing.
Own the build vs buy call for AI tooling: evaluate vendors, run trials, and make clear recommendations with cost and risk tradeoffs.
Work with Security, G&A, and Engineering to write and maintain practical AI usage and data handling standards, and make the approved path the easy path.
Set up evaluations and monitoring so the workflows you ship keep working as models and systems change.

Senior AI Enablement Engineer

Responsibilities

Qualification

Preferred

Benefits

Company

CloudZero

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