Director, AI Platforms

Director, AI Platforms

Shape a brighter financial future with us. As Director of AI Platforms, you will build and lead the team responsible for multiple AI‑enabling platform services, automation, and SDLC tools for SoFi and its affiliates.

What You’ll Do

• Build and run a multi‑tenant AI and SDLC platform that provides standardized primitives including model access, inference serving, prompt and workflow orchestration, feature and retrieval integration, and evaluation tooling.
• Establish golden paths for AI development and deployment, including templates, reference architectures, and developer experience workflows that reduce time to first production and increase reuse across teams.
• Drive AI‑accelerated developer productivity across the engineering organization – embedding AI capabilities into an AI‑native SDLC to transform how engineers plan, code, test, build, deploy, observe, and remediate.
• Partner with product and engineering leaders to drive adoption, measure outcomes, and continually refine the platform based on developer feedback and business impact.
• Define and deliver the AI and SDLC platform strategy, roadmap, and operating model, including productization, intake, prioritization, lifecycle management, and deprecation policies.
• Lead vendor and ecosystem strategy for AI platform components, including build‑versus‑buy decisions, model provider evaluation, contracting partnership, and total cost of ownership optimization.
• Build governance into the platform, including access controls, data‑handling controls, auditability, model and prompt change management, and approved usage patterns for regulated workloads.
• Own platform reliability and operability, including SLOs, on‑call readiness, runbooks, incident response posture, and continuous improvement through post‑incident learning.
• Implement platform observability for AI systems, including telemetry, tracing, and monitoring for model performance, drift, latency, safety signals, and cost drivers.
• Drive automation and standardization across infrastructure provisioning and delivery pipelines, including infrastructure as code, CI/CD patterns, environment management, and policy‑as‑code guardrails.
• Hire, develop, and retain 2‑3 high‑performing teams of AI and DevEx platform engineers while setting technical standards and mentoring platform engineering practices across the organization.

What You’ll Need

• 10+ years of engineering experience with 5+ years leading teams delivering platform or infrastructure products used by other engineering teams at scale.
• Proven experience building and operating internal platforms, including multi‑tenant services with clear operational contracts, reliability targets, and measurable adoption outcomes.
• Experience delivering production AI platform capabilities such as inference serving, orchestration, evaluation, and model observability, with enough depth to set architecture decisions and quality bars.
• Strong technical depth in cloud and distributed systems, including AWS, Kubernetes, networking, and service reliability practices.
• Hands‑on experience with infrastructure automation and delivery, including infrastructure as code, CI/CD systems, and policy‑as‑code approaches.
• Fluency in observability and operational excellence, including metrics, logging, tracing, capacity planning, and incident management.
• Strong cross‑functional leadership skills, including the ability to partner with Security, Risk, Legal, Compliance, and Data to translate governance requirements into developer‑friendly platform guardrails.
• Experience shaping vendor strategy, evaluating platforms and model providers, and balancing speed, risk, cost, and flexibility through build‑versus‑buy decisions.
• Excellent written and verbal communication, with the ability to align executives and engineering teams on strategy, tradeoffs, and execution plans.
• Experience in regulated industries such as financial services or healthcare (preferred); familiarity with compliance frameworks such as SOC2, PCI, and building security and compliance into platform defaults.

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.

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best‑qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

New York applicants: Notice of Employee Rights. SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email

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