AI Solutions Engineer

You have built, deployed, and maintained production applications.

You understand version control (Git/GitHub), CI/CD pipelines, containerization, and what it takes to keep software running, not just written.

Systems thinking and technical architecture.

You understand how software systems fit together: databases, APIs, authentication, hosting, deployment pipelines.

You can make architecture decisions, evaluate trade-offs, and read code well enough to know when something is wrong.

The team works primarily in Python, and you should be comfortable in it, but the ability to think in systems matters more than raw coding skill.

This is a hands-on engineering role.

You will build, deploy, and maintain AI-powered systems that serve the People function and the broader employee base.

The work is taking messy business problems (fragmented knowledge, manual processes, disconnected tools) and turning them into working software: agents, APIs, applications, and infrastructure. You will work closely with partners across the People function who own domain expertise and stakeholder relationships.

Your job is to turn their rough applications and processes into production systems, and to push back when a technical constraint changes what's possible. This is not a pure backend role.

You will be in the room when business problems are being scoped, and you need to understand the problem well enough to make architecture decisions on your own.

You also need to take what you build and get it running in production.

People Tech & Analytics (PTA) builds and owns the data, AI, and technology infrastructure for Affirm's People function. The team runs like a product engineering group embedded in HR. We own the full stack: data ingestion, transformation, dashboards, AI tools, and production applications deployed on Snowflake.