Director, AI Platforms

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Who we are:

The Role:

As Director AI Platforms you will build and lead the team responsible for multiple AI-enabling platform services automation and SDLC-enabling agents for SoFi and our affiliates. This shared foundation enables teams across the company to build deploy and operate AI capabilities through self-service workflows standard tooling and clear operational contracts. You will partner closely with Engineering Security Risk Legal Compliance and Data to ensure AI development and runtime practices meet regulatory and governance requirements by default. You will also align the AI platform roadmap with our broader internal developer platform strategy including infrastructure automation CI/CD observability and reliability standards. Youre a builder first: someone who has shipped production platforms that engineering teams actually chose to adopt who can operate with influence across organizational boundaries and who thrives when the roadmap is theirs to define. The idea of building an in-house variant of Open Claw that is both powerful safe and auditable is an appealing challenge to you.

What Youll 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 all SoFi 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. Teams use your platform because its the fastest path to production not because theyre required to.
• 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. This isnt an approval gate its infrastructure that makes the right thing the easy thing.
• 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 Youll 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 (SOC2 PCI) and building security and compliance into platform defaults.