AI Solutions Engineer

Affirm

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$220,000–$280,000 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $195k
This role $250k
$131k most similar roles pay here $296k

This role pays more than 84% of similar roles. Most pay $154,400–$236,487 — the shaded band above. At the midpoint, this role pays about $250k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About Affirm

Affirm is a buy-now, pay-later (BNPL) financial technology company that offers point-of-sale installment loans to consumers, allowing them to split purchases into fixed monthly payments with transparent terms. Industry: Financial Technology & Consumer Lending

Affirm currently has 64 open roles on FindRole.

Listed pay typically runs $195,000–$255,000 across 64 roles with salary data.

Most-posted roles

View all roles at Affirm

At a glance

TL;DR · AI Solutions Engineer

Role Posting Log in to save

As an AI Solutions Engineer at Affirm's People Tech & Analytics team, you will join a small, fast-moving group embedded in HR to build and maintain AI-powered systems that streamline employee interactions with the People function. Your day-to-day involves translating complex business requirements into production-ready software, integrating tools like Workday and Notion, and ensuring robust security and data governance across platforms. You’ll work closely with non-technical stakeholders to scope problems and make architecture decisions independently, using Python, Snowpark Container Services, and Quicksilver to build scalable AI solutions. This role demands a strong foundation in software engineering, systems thinking, and the ability to bridge technical and business contexts effectively.

Skills

Python Snowflake CI/CD Docker Git GitHub Kubernetes Terraform dbt PostgreSQL Workday Notion RBAC Snowpark Container Services Quicksilver

What you'll do

  • Build and deploy AI agents, APIs, and applications on Affirm's internal platform.
  • Turn business requirements into production systems by integrating with tools like Workday and Notion.
  • Navigate security and data governance infrastructure to ensure safe deployment of AI systems.
  • Design reliability infrastructure for multi-model LLM services including validation and fallback mechanisms.
  • Translate technical constraints and business needs between non-technical stakeholders and engineering teams.

What we're looking for

  • Software engineering experience with production application deployment and maintenance.
  • Proficiency in Python, system architecture, and integration across platforms like Snowflake, Workday.
  • Ability to translate business requirements into technical solutions and vice versa.
  • Experience designing and implementing reliability infrastructure for AI services.
  • Hands-on builder disposition with a track record of creating systems from scratch.

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