AI Solutions Engineer
Application analysis
AI Solutions Engineer at Affirm is a forward deployed enterprise software role for engineers who want customer-facing technical work with real deployment ownership.
Reading this role
This Solutions / Sales Engineering role centers on technical discovery, demos, POCs, and helping buyers build internal consensus.
About Affirm
Enterprise software forward deployed engineers drive adoption, integration, and measurable customer outcomes. The role is anchored in Remote US, so expect on-site customer work in that region.
Stand out for AI Solutions Engineer
- Lead your application with one paragraph tying AI Solutions Engineer to a specific customer or deployment you owned — Affirm hires for shipped outcomes, not tool lists.
- Bring a tight demo narrative: customer pain, live workflow, and measurable before/after — treat the interview like a compressed POC.
- Show how you qualify opportunities and say no to bad-fit pilots; Affirm values technical judgment in customer-facing roles.
- This role is tied to Remote US — mention willingness to work on-site with customers and any existing ties to that market (clients, partners, or domain knowledge).
Stand out at Affirm
- Demonstrate stakeholder management with a concrete example — Affirm will probe for specifics, not buzzwords.
- Demonstrate integration skill with a concrete example — Affirm will probe for specifics, not buzzwords.
- Prepare stories that move from discovery → pilot → production with named outcomes.
- Read recent engineering blog posts, product launches, and customer stories on affirm.com — reference one explicitly in your outreach to show genuine interest.
Tailored from this listing’s title, company, and description. Always verify requirements on the company careers page before applying.
Role description
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
About the Team:
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.
About the Role:
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. Hosting, security, deployment, and ongoing maintenance are all part of the job.
What You'll Do:
Build and ship AI agents, APIs, and applications on Affirm's internal platform (Snowpark Container Services / Quicksilver). You own the full lifecycle: architecture, containeri