Top Tech Jobs & Startup Jobs in San Francisco, CA

Design, develop, deploy, and support production AI systems, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, and observability. Optimize AI systems for cost, latency, throughput, scalability, and hardware utilization. Architect multi-model orchestration pipelines, establish governance standards, contribute to platform roadmaps, lead design reviews, and mentor senior AI engineering staff.

Lead Capital One’s Developer Experience Telemetry workstream by defining telemetry strategy, privacy and security guardrails, unified data products, and developer-focused dashboards. Partner with Engineering, Machine Learning, Cyber, and Enterprise Data teams to capture and evaluate software development data, measure productivity and quality outcomes, optimize costs, and enable automated data-driven decisioning. Drive cross-functional alignment and transformational product leadership while managing surveillance, compliance, complexity, and signaling risks.

Design, develop, deploy, and optimize production AI systems involving foundation models, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Lead model orchestration and cost-performance optimization across hardware and cloud infrastructure. Establish engineering standards, oversee design reviews, contribute to AI platform roadmaps, and mentor senior technical staff while applying state-of-the-art research to scalable, responsible AI products.

Leads the vision, strategy, and product team for enterprise AI/ML platforms supporting model training, serving, and generative or agentic AI applications. Partners with platform leaders, data scientists, and software engineers to evolve scalable capabilities, improve user experience, drive adoption, and deliver business value. Requires strong technical product leadership, AI/ML expertise, people management, and experience in complex technology environments.

Leads the AirKey product management team and develops the roadmap for Capital One’s proprietary hardware authentication technology. Partners with engineering and commercial stakeholders to define strategy, implement solutions, build customer-facing digital products, identify monetization opportunities, and establish a new B2B business. Provides transformational leadership, translates business strategy into products, evaluates partner feedback, and guides product managers.

Leads applied AI research teams and sets the strategic research roadmap. Partners with scientists, engineers, and product leaders to develop, train, evaluate, and deploy foundation models and other large-scale AI systems. Guides research into production-grade customer experiences, mentors applied scientists, represents the company within the research community, and translates advanced AI concepts into business impact. The role emphasizes large deep learning models, LLMs, optimization, production-scale inference, research publications, and people leadership.

Design, develop, deploy, and support foundational AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, scalability, and hardware utilization. Own complex architectures, define reliability objectives, ensure security and compliance, contribute to strategic roadmaps, and mentor senior technical staff.

Leads AI engineering strategy, teams, and delivery of scalable foundation models, LLM inference, similarity search, guardrails, evaluation, governance, and observability systems. Oversees technical architecture, optimization, build-versus-buy decisions, responsible AI standards, enterprise roadmaps, and cross-functional execution. Develops talent, establishes engineering practices, and partners with research, compliance, and risk teams to deploy reliable AI products across the organization.

Design, develop, deploy, and support foundation-model and LLM inference systems, including agentic workflows, vector search, guardrails, evaluation, governance, and observability. Optimize AI infrastructure for scalability, latency, throughput, hardware utilization, and cost. Architect multi-model orchestration pipelines, establish cost-performance governance, define engineering standards, lead design reviews, contribute to technical roadmaps, and mentor senior AI engineers.

Designs, develops, and maintains complex Workday integrations across HCM, Recruiting, Compensation, Payroll, Benefits, and related modules. Uses SOAP, REST, WSDL, XML, XSLT, Workday Studio, and automation workflows to deliver resilient HR technology solutions. Responsibilities include troubleshooting, security, data analysis, process improvement, testing, code reviews, stakeholder collaboration, vendor coordination, and leading integrators and configurators. Requires technical leadership, Agile delivery, and alignment with product owners and HR partners.