Currently tracking 4 active AI roles, up 29% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $128k–$297k (avg $199k).
SoFi currently has seven active job listings for AI-related roles. The majority of these positions are in the application stage, accounting for 43% of the openings, with an equal percentage also in the agents stage. Engineering is the most frequent function for these hires. SoFi is actively recruiting for roles that frequently mention tech tags such as model serving, LLM observability, and agent orchestration. Over the last 30 days, SoFi has added six new AI roles, representing a 50% increase compared to the previous 30-day period.
SoFi currently has 7 active AI-related roles in our index. The most common open titles are: Finance System Architect Manager, Fraud Model Developer, Senior Manager, Data Science, Senior Staff Software Engineer, AI Accelerated SDLC, Staff Security Detection Engineer, Machine Learning. Most positions are in Engineering.
SoFi's active AI hiring is concentrated in: application (43%), agents (43%), post-training (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
SoFi is hiring AI talent in: United States (7 roles).
Job postings at SoFi most frequently mention: Tool-Using Agents, System Design, Software Engineering, Service Mesh, Agent Research.
In the past 30 days, SoFi has posted 7 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Director, AI Platforms Director of AI Platforms responsible for building and leading a team that provides AI-enabling platform services, automation, and SDLC agents for SoFi. The role focuses on creating a shared foundation for teams to build, deploy, and operate AI capabilities through self-service workflows, standardized tooling, and clear operational contracts, while ensuring compliance with regulatory and governance requirements. Key responsibilities include defining the platform strategy and roadmap, driving adoption, managing vendor relationships, implementing governance and observability, and leading engineering teams. | ServeAgent | 8 |
| Principal Product Manager - Fraud, Risk & ML Platform Principal Product Manager to lead the strategy and roadmap for a Fraud, Risk & ML Platform. This platform is the unified foundation for event-driven decisioning, risk-based interdictions, real-time feature stores, and self-serve ML capabilities across the enterprise. The role focuses on reducing model time-to-market, enabling teams to build, deploy, and monitor ML models at enterprise scale, and improving platform adoption through a strong developer experience. | ServeAgent | 7 |