AI Solutions Engineer

Details

• Build and ship AI agents, APIs, and applications on Affirm's internal platform (Snowpark Container Services / Quicksilver). You own the full lifecycle: architecture, containerization, networking, secrets, CI/CD, monitoring, and fixing what breaks.
• Turn messy business requirements from People Operations stakeholders into production systems. Integrate with Workday, Notion, and case management tools so AI surfaces real answers from governed content, not model guesses.
• Navigate Affirm's existing security and data governance infrastructure to get AI systems running safely on people data. RBACs, data classification, and access policies already exist, but connecting them across systems (Workday, Snowflake, case tools) is where it gets messy. You figure out what's allowed, build within those constraints, and make sure employee data stays where it's supposed to.
• Design reliability infrastructure for multi-model LLM services. Structured output validation, fallback chains, circuit breakers for external APIs, and quality controls that catch hallucination before users see it.
• Work directly with non-technical stakeholders to scope problems, make architecture decisions, and give honest assessments of what AI can and can't do. You translate in both directions.
• Contribute to the team's shared Python codebase, dbt models, and Snowflake infrastructure as part of a small, full-stack team that ships fast.
• Own what you build. When something breaks in production, you diagnose and fix it.
• Software engineering foundation. 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.
• Builder disposition. You have created something from nothing: a system, a tool, a platform, in an environment where nobody handed you a spec. You identified the problem, designed the solution, and shipped it.
• Ability to work across the technical-business boundary. You can sit in a meeting with non-technical stakeholders, understand the real problem behind the stated request, and come back with a solution that actually addresses it. You translate in both directions: technical constraints into business language, business needs into technical requirements.
• You will build AI systems that directly change how 2,000+ employees interact with the People function. Visible, measurable impact.
• Small team, high autonomy. You own what you build, from architecture through production.
• Work at the frontier of AI-powered employee experience. This is the kind of work that will define how companies operate in the next five years.
• A team that ships fast, uses AI tools as a core part of how we work, and doesn't wait for permission to build things.
• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount