Senior AI Enablement Engineer - Help Teams Thrive with AI

CloudZero, Inc.

Boston (MA)

On-site

USD 150,000 - 210,000

Full time

37 hours ago

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Job summary

CloudZero, Inc. is seeking a Senior AI Enablement Engineer to help every team leverage AI safely and effectively.

You will embed with Finance, Sales, Marketing, Customer Success, People, and Engineering to redesign workflows atop an AI foundation, building agents, automations, and data products that scale across the company. You will ensure proper access controls, data connections, logging, evaluation, and spend tracking, while teaching teams through playbooks, office hours, and hands-on

Qualifications

5+ years in a technical role such as software engineering, IT or systems engineering, solutions/sales engineering, automation, or internal tools.
Hands-on coding with Python or TypeScript, plus solid SQL and comfort working with REST APIs and webhooks.
Deep personal use of modern AI tools, including coding agents, LLM APIs, MCP, agent skills or custom GPTs, and retrieval patterns.
Ability to enable and train; confidence in facilitating workshops and trainings in an engaging manner that fosters continuous learning and development.
A track record of building tools, automations, or AI workflows that changed how a real team works, with specific examples and results.
Working knowledge of identity and access (SSO, SCIM, OAuth scopes, service accounts, least privilege) and how data permissions carry into AI tools.
The habit of defining what good output looks like, testing it, and owning the result.
Strong business sense and the ability to earn trust with non-technical teams quickly.
Clear writing and teaching. You can explain technical ideas to a diverse set of audiences, both technical and non-technical.
Comfort with ambiguity. You do not need a detailed roadmap to know where to start.
You reach for Claude Code, Claude Desktop, or Cursor before solving a problem by hand, and you can talk credibly about which models and tools are good at what, where they fall short, and how to prompt them well.

Responsibilities

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.
Track AI adoption, outcomes, and spend across the company, and report what is working to IT leadership. Use CloudZero to understand what our own AI spend is producing.
Raise AI fluency across the company through office hours, working sessions, playbooks, and one-on-one coaching.
Document everything you build so the work is repeatable and scalable.
Build the experience for internal agent builders: templates, deploy paths, docs, and office hours that turn one team's work into every team's capability.
Turn repeated requests into self-serve tools and data products, working with our IT & AI Systems Engineer on the systems and employee lifecycle automation that agents depend on.
Partner with our IT and data platform engineers so every agent runs with the permissions of the person who invokes it, never more, with no shared service accounts, and with its cost attributed to a team.