engineering
Posted 3 weeks agoAI Solutions Engineer
at Affirm
United StatesRemote
Responsibilities
- Build and ship AI agents, APIs, and applications on Affirm's internal platform (Snowpark Container Services / Quicksilver).
- Integrate with Workday, Notion, and case management tools so AI surfaces real answers from governed content, not model guesses. •
- Design reliability infrastructure for multi-model LLM services.
- Own what you build. When something breaks in production, you diagnose and fix it.
Requirements
- People Tech & Analytics (PTA) builds and owns the data, AI, and technology infrastructure for Affirm's People function.
- We own the full stack: data ingestion, transformation, dashboards, AI tools, and production applications deployed on Snowflake. About the Role:
- You will build, deploy, and maintain AI-powered systems that serve the People function and the broader employee base.
- 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.
- 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.
- 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. •
- You understand version control (Git/GitHub), CI/CD pipelines, containerization, and what it takes to keep software running, not just written. •
- 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. •
- Ability to work across the technical-business boundary.
- You will build AI systems that directly change how 2,000+ employees interact with the People function. Visible, measurable impact. •
- 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. •
- Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office.
Benefits
- 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. Pay Grade - O Equity Grade - 12
- Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
- Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and
- benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
- USA base pay range (CA, WA, NY, NJ, CT) per year: $220,000 - $280,000
- USA base pay range (all other U.S. states) per year: $195,000 - $255,000
- Please note that visa sponsorship is not available for this position. #LI-Remote
- benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- 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
Additional details
- 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:
- The team runs like a product engineering group embedded in HR.
- 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.
- Hosting, security, deployment, and ongoing maintenance are all part of the job. What You'll Do: •
- 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.
- You figure out what's allowed, build within those constraints, and make sure employee data stays where it's supposed to. •
- Structured output validation, fallback chains, circuit breakers for external APIs, and quality controls that catch hallucination before users see it. •
- You have built, deployed, and maintained production applications.