Top AI & Machine Learning Jobs in San Francisco, CA

Own and operate foundational AI developer experience platforms, including AI gateways, model routing, evaluation systems, and coding harnesses. Lead architecture, technical standards, execution, incident resolution, and cross-team alignment. Build AI usage telemetry and cost allocation systems, partner with internal developers as platform customers, maintain technical roadmaps, and mentor engineers. Develop cloud-native distributed systems and AI-assisted tooling while ensuring security, data governance, testing, and operational excellence.

Lead architecture and technical direction for SoFi’s AI Developer Experience platform, including AI gateways, model routing, evaluation systems, harness vending, and AI economics. Drive multi-team initiatives across autonomous coding, CI/CD, and developer tooling; resolve distributed-systems challenges; establish operational and architectural standards; lead incident response; and mentor senior and staff engineers. Build scalable LLM-based systems while balancing accuracy, latency, cost, security, privacy, and maintainability.

Lead the architecture, development, and production deployment of advanced AI systems for risk management and compliance. Design agentic frameworks using LangGraph, persistent agent memory, LLM orchestration, PEFT, model-serving infrastructure, observability, and testing. Mentor engineers, guide technical strategy, collaborate cross-functionally, and drive AI innovation. The role requires expert Python, large-scale data and cloud infrastructure experience, Kubernetes and GPU orchestration expertise, and strong knowledge of LLMs, RAG, vector databases, and financial-services applications.

Leads SoFi’s enterprise-wide AI transformation strategy, identifying and delivering high-impact generative AI, agentic AI, automation, and intelligent workflow initiatives. Partners with executives and cross-functional teams to establish AI roadmaps, governance, operating models, adoption programs, KPIs, and measurable business outcomes. Manages product managers and engineers building AI solutions, evaluates emerging technologies and vendors, communicates strategy to senior leadership, and recruits and develops the AI transformation team.

Build agentic AI workflows that automate Finance processes, including close, reconciliation, forecasting, and reporting. Develop telemetry to measure AI usage, cost, engagement, and ROI; help design user experiences and feedback loops; validate explainable and auditable outputs; and rapidly prototype solutions before partnering with platform teams for production. The role also requires developing Finance domain knowledge, SQL rigor, and communication skills with nontechnical stakeholders.

Lead end-to-end direct mail campaign analytics and execution for financial products: define targeting and suppression rules, build and validate data pipelines, manage offshore execution, measure ROI, partner with marketing and vendors, and translate results for senior leadership.