Top AI & Machine Learning Jobs in San Francisco, CA

Design, prototype, deploy, and iterate AI-powered agentic service workflows that combine models, data, tools, and human judgment. Define HITL/override logic, orchestration patterns, evaluation and ROI metrics, and governance safeguards. Partner cross-functionally with Engineering, CX, Legal, Compliance, and Data to close platform gaps, measure performance, and ensure safe, scalable production systems.

Architect and operate an internal AI platform and APIs to integrate LLMs into developer workflows. Build autonomous agents, custom RAG, eval frameworks, and tooling to automate refactors, self-heal CI/CD, and improve developer productivity while ensuring security, reliability, cost control, and cross-team alignment.

Lead and grow Gusto's Sales Analytics team to rebuild sales data infrastructure, advance forecasting and causal-inference capabilities, deliver actionable revenue insights, enable AI-driven self-service analytics, and partner cross-functionally to drive scalable, high-impact analytics for acquisition and expansion.

Lead Gusto’s approximately 25-person AI Platform engineering organization. Set technical strategy and roadmaps for AI agents and shared agent infrastructure, determine platform ownership boundaries, develop managers and technical leaders, establish production standards for prompts, tools, policies, evaluation, reliability, guardrails, and cost management, and align engineering with product, data science, and company-wide AI strategy.

Leads and develops a data science and analytics team supporting growth product initiatives. The role combines people management with hands-on product analytics, experimentation, measurement framework development, and AI product evaluation. It partners with Product, Engineering, Design, Marketing, Sales, and Finance to influence strategy, optimize user experiences, guide AI-powered feature development, and communicate actionable insights to senior leadership.

Lead integration of AI and automation across enterprise systems, designing Model Context Protocols and intelligent agents to automate workflows, ensure security and SOX compliance, measure KPIs, and enable business stakeholders to adopt AI-driven processes.

Design, build, and scale ML/AI platform infrastructure and MLOps solutions including automated pipelines, model deployment, monitoring, and retraining. Collaborate with ML engineers and application owners to define SLAs, implement CI/CD and observability, and apply AI-assisted tools and best practices across engineering workflows.

Senior full‑stack engineer to design, build, and operate AI-powered Growth experiences (AI voice agent, LLM-driven email) across onboarding and lifecycle. Own technical strategy, production workflows, integrations, safety controls, experimentation, evaluation, and cross-functional collaboration while mentoring engineers and driving measurable acquisition and activation outcomes.

Lead product for Gusto's AI-first service intelligence layer across voice, chat, and email. Own intent understanding, escalation/handoff logic, context ingestion, knowledge retrieval, model evaluation and monitoring. Drive architecture simplification, experimentation, and cross-functional alignment with Sales, Service, and Engineering to improve solve rate, satisfaction, escalation accuracy, handle time, and customer effort.

Lead the AI/ML organization at Gusto, defining strategies for AI systems, collaborating with senior leaders, and ensuring the development of impactful AI solutions.