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Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The role:
SoFi's Associate AI Engineer, Finance Transformation is a hands-on builder within SoFi's Finance organization, focused on building agentic AI workflows that transform how Finance works from close and reconciliations to forecasting and reporting.
Finance has one of the largest AI opportunity surfaces at SoFi: over a hundred identified use cases, an active champions network, and executive sponsorship. In this role you will build multi-step AI workflows on approved enterprise AI platforms, stand up the telemetry that measures AI usage, cost, and ROI across Finance, and help make AI outputs trustworthy enough for Finance decision-making in a controlled environment where outputs must be explainable, auditable, and reconciled to the number.
You will work directly with the AI Transformation Manager for Finance, who owns use-case strategy and stakeholder engagement, and in close partnership with SoFi's AI SDLC and platform teams, who support the path from prototype to production. This is a build-focused role with an unusual growth surface: SoFi's AI Engineering ladder (through Staff and Senior Staff) is the visible progression path.
What you’ll do:
- Build agentic AI workflows: Develop multi-step AI workflows such as planning, tool use, retrieval, structured orchestration on approved enterprise AI platforms and agentic coding tools to automate Finance processes.
- Build AI telemetry: Own usage, cost, engagement, and ROI reporting across Finance AI tools, from source extraction to dashboards leadership relies on.
- Contribute to the experience layer: Help design how Finance users interact with AI systems including workflows, interfaces, and feedback loops that build trust and adoption.
- Validate outputs: Apply and refine repeatable patterns for validating AI outputs before they inform Finance decisions such as reconciliation, documented assumptions, human-in-the-loop checkpoints.
- Prototype fast: Turn prioritized Finance use cases into working prototypes, then partner with AI SDLC and platform engineering on the path to production.
- Learn the domain: Develop Finance fluency (close, reconciliation, reporting workflows) and SQL rigor in seat, with structured support.
What you’ll need:
- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field, or equivalent practical experience.
- 1–3 years of experience building with LLMs or an exceptional new-grad record with substantial hands-on agent projects (academic, personal, open-source, or internship work all count).
- Demonstrated hands-on experience with LLM APIs, prompt engineering, RAG, or agent frameworks — with a portfolio of projects where you can clearly explain what you personally designed and why.
- Working Python for automation, API integration, and prototyping.
- Basic SQL for querying data (Finance-grade rigor will be developed in seat).
- Builder mindset: bias toward making a working thing rather than describing one.
- Willingness to learn Finance domain context and communicate with non-technical stakeholders, with support.
Nice to have:
- Exposure to evaluation, tracing, or observability practices for AI systems.
- Exposure to Snowflake, Cortex, or natural-language-to-SQL tooling.
- Exposure to Finance, Accounting, or another controlled/regulated data environment.
- Experience building user-facing tools or internal apps powered by AI.
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field, or equivalent practical experience
- 1-3 years of experience building with LLMs, or an exceptional new-graduate record with substantial hands-on agent projects
- Hands-on experience with LLM APIs, prompt engineering, RAG, or agent frameworks, supported by a portfolio of projects
- Working knowledge of Python for automation, API integration, and prototyping
- Basic SQL querying skills
- Builder mindset and willingness to develop Finance domain knowledge and communicate with non-technical stakeholders
- Exposure to AI evaluation, tracing, or observability practices
- Exposure to Snowflake, Cortex, or natural-language-to-SQL tooling
- Exposure to Finance, Accounting, or another controlled or regulated data environment
- Experience building user-facing tools or internal applications powered by AI
What the Team is Saying
SoFi Compensation & Benefits Highlights
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Healthcare Strength — Healthcare options are described as comprehensive, spanning medical, dental, vision, company‑paid life and disability, EAP, and mental‑health coaching/therapy, along with wellness and gym programs. Some plans include employer HSA contributions and even 100% premium coverage in certain cases, underscoring robust day‑to‑day support.
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Parental & Family Support — Programs include up to 12 weeks of fully paid parental leave, fertility and adoption resources, and subsidized backup child and elder care. Additional offerings such as pet insurance round out a family‑friendly package.
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Leave & Time Off Breadth — Time off includes flexible vacation for exempt staff, generous PTO/sick time for non‑exempt employees, paid holidays, bereavement, jury duty, disability leaves, and early‑release “SoFi Fridays.” This breadth creates multiple avenues to step away and recharge across different employee groups.
SoFi Insights
What We Do
SoFi wasn’t built to be a bank. Or a technology company. We were built for one mission: help people achieve financial independence so they can realize their ambitions. Redefining an entire industry isn’t easy work—and it’s not for the faint of heart. It takes a certain kind of team. People with diverse perspectives and expertise, united by a common sense of purpose. People willing to challenge assumptions but always do the right thing. People proving that innovation and responsibility don’t have to compete, but can come together to create something truly unconventional in the world. For the last eight years, we’ve been charting this new path forward. We call it The SoFi Way. At SoFi, we don’t just talk about culture: we live it. The SoFi Way is how we show up every day, how we make decisions, and how we build for our members, clients, and each other.
Why Work With Us
Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation Fintech company using innovative, mobile-first technology to help our members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront.
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SoFi Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
For the majority of our workforce who work on a hybrid schedule, the in-office requirement is a handful of days per month!
