BOXABL INC is seeking an AI Engineer to take ownership of the company’s Azure data platform and help ensure it stays reliable, secure, and trusted for analytics and AI. In this onsite Las Vegas role, you will connect business systems, govern how AI agents use platform data, and keep data flows operating with visibility and control.
Role overview
As an AI Engineer, you will run the platform that syncs data into a governed foundation for Power BI, sales intelligence, and AI tools and agents. You will build and maintain integrations, administer reporting access, and put guardrails in place so AI uses only approved platform data rather than manual exports.
Responsibilities
- Own uptime through monitoring and alerting using Azure Monitor, manage backups, lead incident response, and publish a monthly Azure cost.
- Build and maintain data feeds from HubSpot, NetSuite, Tulip, OpenBOM / Oracle PLM, Stripe, Aircall, GA4, and PostHog.
- Keep HubSpot and NetSuite in sync by ensuring customers, orders, and deposits reconcile every day.
- Correct data written by AI or voice agents before it pollutes HubSpot.
- Model core datasets including sales funnel, deposits, sales orders, and post-sale delivery.
- Administer Power BI workspaces, datasets, and data sources.
- Integrate AI agents such as GrokBot, Claude, OpenAI, and Microsoft Copilot so they use approved platform data.
- Build retrieval and agent workflows with business teams, and keep the AI Agent Register current.
- Monitor what agents read and write, especially outreach bots operating in Microsoft 365 and HubSpot.
- Manage access using Entra ID (Azure AD) SSO, enforce role-based access, and apply least privilege.
- Support SOC 2 through access reviews, audit logs, change management, and documented runbooks.
- Enforce Boxabl’s AI acceptable use policy, including restrictions on using company or customer data in unapproved tools.
Requirements
- 4+ years in data or platform engineering, including 2+ years running production workloads on Azure.
- Strong SQL and Python.
- Experience building and maintaining API integrations with HubSpot, NetSuite, or similar CRM / ERP systems.
- Shipped at least one production app on LLM APIs (OpenAI, Anthropic Claude, or similar).
- Experience with Entra ID, role-based access, and secrets management on Azure.
- CI/CD with GitHub and infrastructure as code.
- Calm incident ownership and the ability to explain trade-offs to non-technical teams.
Key technologies
Azure, Power BI, HubSpot, NetSuite, Tulip, OpenBOM, Oracle PLM, Stripe, Aircall, GA4, PostHog, GrokBot agents, Claude, OpenAI, Microsoft Copilot, Azure Monitor, Entra ID (Azure AD), Microsoft 365, SOC 2, SQL, Python, GitHub, LLM APIs, API integrations, CI/CD, infrastructure as code, Vercel, Supabase, Jira.
First 90 days
- Day 30: Map every pipeline, integration, and AI agent that touches company data, and ensure alerts are live on critical jobs.
- Day 60: Ensure HubSpot and NetSuite reconcile daily, deliver one trusted sales-order and deposits dataset in Power BI, and publish an Azure cost baseline.
- Day 90: Deliver one AI use case reading governed platform data in production.
Success criteria
- Data refreshes on schedule, HubSpot and NetSuite match, data incidents decrease, and AI tools use the platform instead of exports.
Systems you will work with
- Microsoft Azure (primary), including Entra ID (Azure AD) SSO and Azure Monitor.
- HubSpot, NetSuite.
- Tulip (MES), OpenBOM, Oracle PLM.
- Stripe.
- GA4, PostHog, Aircall, Apollo.
- Power BI.
- GrokBot agents, Claude, OpenAI, Microsoft Copilot.
- GitHub, Vercel, Supabase, Jira.
Environment / physical demands
- Work is performed in an open office environment that supports collaboration inside and outside your department.
- Ability to operate standard office equipment (desktop, laptop, printer, scanner, and similar tools).
- Ability to walk short distances and occasionally within the factory to perform job duties when necessary.
- Most of the day may be spent stationary at a laptop or desktop, creating and compiling data and performing analysis that can include extensive reading and research.
- May need to express or exchange ideas verbally with clients or the public and convey detailed spoken instructions accurately, loudly, or quickly.
