Description
Shape a brighter financial future with SoFi, a next-generation financial services company and national bank. The AI Platform team builds the foundation that lets every engineer at SoFi ship faster, safer, and with more leverage from AI.
As a founding Senior Staff Software Engineer on the AI Developer Experience (AI DevEx) team, you'll be the technical lead and subject matter expert for this area across AI Platform. You'll set architecture, shape the interactive coding strategy, and lead work across Autonomous Coding, CI/CD, Code Factory, and customer engineering teams.
Responsibilities
- Set Technical Direction: Define and drive the architecture for the enterprise AI Gateway, model routing, automated evaluation platform, and harness vending.
- Shape Strategy & Roadmaps: Identify systemic developer productivity bottlenecks, translate opportunities into a 12–24 month technical roadmap, and execute high-impact design and build initiatives.
- Lead AI Economics Engineering: Architect cost models, metering systems, telemetry, and adaptive routing policies.
- Drive Cross-Group Initiatives: Plan and technically lead initiatives spanning multiple engineering teams.
- Resolve Architectural Deficiencies: Identify and remediate root causes of complex architectural bottlenecks.
- Evaluate Build-vs-Buy Choices: Assess emerging AI tooling and foundational models, recommending vendor-neutral integration patterns.
- Represent Group Architecture: Lead department-level technical planning and establish architectural RFC standards.
- Raise Operational Excellence: Set production standards for resilience, testing, and deployment.
- Mentor & Elevate Talent: Coach and develop Senior and Staff engineers.
Requirements
- Bachelor’s Degree + 4+ Years of Experience OR Master’s Degree + 3+ Years of Experience in software engineering, computer science, or a related technical field.
- Proven track record of technical leadership on software initiatives spanning multiple teams and complex distributed architectures.
- Adept system design capability with large-scale, high-availability distributed systems.
- Hands-on engineering experience building with LLM-based architectures, model APIs, and AI-assisted development tools.
- Experience designing or operating model evaluation pipelines, AI proxies/gateways, or dynamic routing systems.
Nice to Have
- Experience designing or scaling internal developer platforms (IDPs) and developer tooling at enterprise scale.
- Practical exposure to FinOps frameworks for tracking and optimizing cloud or AI compute spend.
- Direct experience developing autonomous agentic workflows or deep integrations into engineering development lifecycle tools.
- Background in financial technology, banking platforms, or regulated engineering environments.
Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.