Director, AI Platforms

SoFi

Quick summary

Work type
On-site
Location
San Francisco, CASeattle, WA
Salary
$198,400–$341,000 / yr
Posted
60 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k
This role $270k
$163k most similar roles pay here $360k

This role pays more than 85% of similar roles. Most pay $184,975–$246,150 — the shaded band above. At the midpoint, this role pays about $270k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About SoFi

SoFi Technologies is a fintech company offering student and personal loans, mortgages, credit cards, investing, banking, and insurance products, positioning itself as a one-stop financial services platform. Industry: Financial Technology & Personal Finance

SoFi currently has 36 open roles on FindRole.

Listed pay typically runs $153,600–$258,500 across 36 roles with salary data.

Most-posted roles

View all roles at SoFi

At a glance

TL;DR · Director, AI Platforms

As Director of AI Platforms at SoFi, you will lead a team responsible for developing and maintaining multi-tenant AI-enabling platforms that streamline development workflows across the organization. Your daily tasks include establishing standardized primitives for model access, inference serving, and workflow orchestration, while ensuring these tools meet regulatory standards through robust governance frameworks. You will collaborate with various departments to drive platform adoption and refine strategies based on developer feedback, focusing on enhancing productivity and reducing time-to-market. The ideal candidate has extensive experience in building scalable internal platforms, a deep understanding of cloud technologies like AWS and Kubernetes, and proficiency in infrastructure automation tools such as CI/CD systems and policy-as-code approaches. Familiarity with regulated industries and compliance frameworks is preferred, emphasizing the need for secure and auditable AI solutions at scale.

What you'll do

  • Build and run a multi-tenant AI and SDLC platform providing standardized primitives for model access and inference serving.
  • Establish golden paths for AI development and deployment to reduce time to production and increase reuse across teams.
  • Drive adoption of AI capabilities into the SDLC to transform how engineers plan, code, test, build, deploy, observe, and remediate.
  • Define and deliver the AI platform strategy, roadmap, and operating model including productization, intake, prioritization, and lifecycle management.
  • Implement governance into the platform for access controls, data handling, auditability, and approved usage patterns for regulated workloads.

What we're looking for

  • 10+ years of engineering experience including 5+ years leading teams delivering scalable platform products.
  • Proven track record in building and operating multi-tenant internal platforms with clear operational contracts.
  • Experience delivering production AI platform capabilities like inference serving, orchestration, evaluation, and observability.
  • Strong technical expertise in cloud and distributed systems, AWS, Kubernetes, networking, and service reliability practices.
  • Hands-on experience with infrastructure automation, CI/CD systems, and policy-as-code approaches.
  • Fluency in observability practices including metrics, logging, tracing, capacity planning, and incident management.
  • Cross-functional leadership skills to partner with Security, Risk, Legal, Compliance, and Data for governance requirements.

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