Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Leads complex technical programs and cross-platform initiatives across Capital One’s card technology portfolio. Establishes TPM operating models, roadmaps, maturity frameworks, and scalable tooling; aligns architecture and dependencies; manages risks and executive escalations; and drives measurable platform outcomes across engineering teams. Requires strong experience with distributed systems, cloud architecture, Agile delivery, regulated environments, organizational influence, and large-scale technical program execution.

Design and deliver enterprise-scale AI systems, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Set architecture and optimization strategies for scalable, cost-efficient, responsible AI platforms. Lead model routing, caching, orchestration, and cloud deployments while mentoring engineers, influencing stakeholders, and advancing AI research into production.

Lead the design, development, deployment, and operation of machine learning models and platforms at scale. Build distributed ML infrastructure, data pipelines, cloud-based architectures, and production services. Develop and test application code, automate deployment, monitor and retrain models, and apply CI/CD, governance, security, and responsible AI practices. Collaborate with Product, Data Science, and Agile teams to solve complex business problems.

Design, develop, deploy, and optimize large-scale AI systems, including foundation models, LLM inference, agentic workflows, vector search, guardrails, and model evaluation. Lead AI architecture, cost-performance governance, optimization, technical design reviews, and responsible AI standards. Partner with engineering, research, product, and program teams while mentoring senior technical staff and shaping the roadmap for foundational AI platforms.

Lead the architecture and development of enterprise AI platforms, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize AI systems for cost, latency, throughput, scalability, safety, and transparency. Set long-term technical strategy, drive organization-wide standards, lead platform initiatives, partner cross-functionally, and mentor senior engineering and research leaders.

Leads enterprise data science initiatives for agentic AI products, including AI/ML model development, experimentation, telemetry analysis, and strategic recommendations for senior leadership. Partners with data scientists, engineers, and product managers while translating complex statistical insights into business outcomes. Requires extensive experience in quantitative analytics, large-scale data analysis, production AI/ML deployment, A/B testing, and team leadership.

Designs, develops, deploys, and supports large-scale AI systems, including foundation models, LLM inference, agentic workflows, similarity search, guardrails, and model evaluation. Defines enterprise AI architecture, optimizes model performance, cost, latency, and throughput, establishes AI safety and governance standards, leads multi-year platform initiatives, and mentors senior technical leaders across engineering and research.

Lead the design, development, deployment, and governance of scalable AI systems, including foundation models, LLM inference, similarity search, guardrails, evaluation, and observability. Define AI platform strategy, optimize production systems, establish Responsible AI standards, and translate enterprise priorities into execution plans. Build and mentor multi-team engineering organizations while partnering with research, product, compliance, and risk teams.

Lead consumer growth and retention product experiences for Capital One Shopping. Own reward and activation strategy, personalization, product journeys, business cases, prioritization, analytics, operational reporting, and investment decisions. Partner closely with engineering to rapidly build, A/B test, and optimize digital experiences. Use SQL, Excel, financial modeling, user behavior insights, and AI-enabled approaches to drive product adoption, activation, retention, and business growth.

Leads technical vision, architecture, modernization, and engineering standards across complex domains. Designs scalable cloud, data, microservice, and event-driven systems; ensures implementation quality and operational performance. Partners with engineering and architecture leaders on platform strategy, mentors engineers, drives technical excellence, communicates best practices, and leads cross-divisional initiatives. The role requires hands-on software engineering, solution and enterprise architecture, cloud computing, data architecture, distributed systems, and extensive technical leadership experience.