AI Workflow Engineer | LATAM - Backblaze

Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. We are seeking an AI Workflow Engineer!

About the Role

Backblaze is running a company-wide AI transformation program, and this role is where strategy becomes something you can actually use. As AI Workflow Engineer, you will be the hands-on builder inside the AI Program Office—embedded alongside the Director, AI Enablement, and deployed into non-GTM, non-Engineering business teams to prototype, build, and ship AI-powered workflow solutions.

This is not a research role or a strategy role. You will spend your time building: prompt architectures, automation flows, lightweight agents, API integrations, and demos that help business teams see concretely what AI can do for them.

What You Will Do

Build and Ship AI Workflow Solutions

• Take scoped use cases from the Director, AI Enablement and build working solutions: prompt layers, automation flows, lightweight agents, RAG implementations, and API integrations.
• Build working prototypes quickly to show teams what is possible in days, not weeks, then refine based on usage.
• Translate documented workflow assessments into technical designs, select the right tools, and own the build through to a deployable solution.
• Maintain solution documentation clear enough for handoff, iteration, and audit.

Embed in Business Teams

• Spend time inside the functions you are building for—Finance, HR, Legal, Marketing Ops, Customer Success—to understand workflows before redesigning them.
• Run working sessions to map current-state workflows, surface friction points, and identify AI leverage.
• Build credibility with non-technical stakeholders by showing working solutions rather than decks.
• Support user acceptance testing, early adoption, and troubleshooting.

Support the AI Program Office

• Build demos and proof-of-concepts to help make the case for use cases or disqualify them early.
• Contribute to vendor and tool evaluations with a builder's perspective.
• Feed learnings from the build process back into the broader program.
• Manage tactical quick wins and longer-horizon strategic builds concurrently.

What Success Looks Like (First 90 Days)

• Completed at least one workflow assessment alongside the Director and produced a working prototype.
• At least one solution in active use by a business team with a named owner and feedback loop.
• Worked inside at least two different business functions.
• The Director trusts you to own the build layer independently.

The Right Fit

• 2–4 years of experience including meaningful time working inside a business-facing function (operations, finance, marketing, customer success, HR).
• Hands-on experience building with AI tools: prompt engineering, automation platforms (Make, Zapier, n8n), API integrations, and working familiarity with RAG architectures and agent frameworks.
• Proven ability to take messy real-world processes and build solutions that make them faster or better.
• Comfortable working with non-technical stakeholders without heavy jargon.
• Strong enough with code or no-code tools to ship solutions independently.
• Able to manage multiple active projects at different stages simultaneously.