AI Platform Engineer

The Role

As an AI Platform Engineer within our System Administration team, you will design and build the internal AI platform that every Bloomerang employee uses to do their best work. This role isn’t just about maintaining infrastructure — it’s about shipping a product. You will architect a unified AI workspace where authentication, integrations, governed data access, and shareable skills come together so every employee can be an AI power user without configuring a thing.

Beyond the platform build, you’ll also have an active hand in advancing Bloomerang’s adoption of existing internal AI tools — Replit, Claude, Gemini, Skyvern, and others — partnering with our AIOps Engineer to keep the broader ecosystem moving forward.

Why This Role Matters: The AI models are already exceptional. The problem isn’t intelligence — it’s the harness. Most employees are driving a Ferrari with the handbrake on, not because they lack ambition, but because they’ve never seen what a well-configured AI environment can do. You’re the person who builds that environment. Internal AI productivity is becoming a competitive moat, and this role owns the moat.

What You Will Do

• AI Platform Build
  • Ship the Product: Design and build Bloomerang’s internal AI platform end-to-end, from architecture through iteration.
  • Frictionless Access: Build a unified workspace where employees sign in once and every tool, integration, and capability is ready on day one.
  • Governed Intelligence: Partner with data and security stakeholders to integrate role-based, just-in-time access to a tiered data model.
  • Marketplace of Skills: Build the internal app store where employees can publish, discover, and one-click install reusable skills, flows, and agents.
  • Memory That Works: Architect a context system that lets the platform know what people are working on without asking them to re-explain.
• Internal AI Tooling Enablement
  • Hands-On With the Stack: Partner with the AIOps Engineer to advance Bloomerang’s adoption and capability with Replit, Claude, Gemini, Skyvern, and other AI tools already in use.
  • Builder Support: Help internal builders get the most out of existing tools through templates, examples, and direct technical partnership.
• Embedded Discovery
  • Sit With Users: Spend time with employees across departments to see how they actually work and where the platform can move the needle.
  • Translate Into Capability: Turn what you observe into shipped features — primitives others can build on, not one-off solutions.

What You Need to Succeed

• The Builder Mindset: You sh