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

Design, train, evaluate, and deploy large-scale AI foundation models (LLMs, vision, graph, sequential). Collaborate with cross-functional teams to productionize research, optimize training/inference, and translate research into customer-facing products. Drive applied research agenda, publish results, and contribute to platform and tooling.

The Senior Platform Engineer will develop and support Workday solutions, collaborate with various teams, and enhance human resource technologies for Capital One.

The role involves developing and deploying AI-powered products, optimizing performance, and collaborating with cross-functional teams to advance AI technology at Capital One.

Lead the design, development, and deployment of AI software components while partnering with engineers and scientists to deliver innovative AI solutions at Capital One.

Lead and grow an AI engineering organization building foundation-model training and LLM-powered production systems. Own design, deployment, optimization, evaluation, governance, and observability of scalable AI platforms; make build-vs-buy decisions across open source and SaaS AI technologies; drive technical vision and mentor engineering teams to deliver responsible, high-performance AI capabilities.

Research and develop large-scale AI foundation models (design, training, evaluation, validation, deployment). Collaborate with engineers, product and ML teams to apply state-of-the-art methods, optimize training/inference, and translate research into production AI-powered products. Own research agendas and deliver reproducible results and publications.

Lead product strategy and execution for enterprise digital products, driving human-centered, technology-driven solutions. Manage cross-functional teams, translate business strategy into customer-facing products, mitigate product risks, and deliver measurable business outcomes.

Lead design, development, deployment, and support of foundational AI systems including LLM training and inference, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI performance (latency, throughput, cost), collaborate cross-functionally, and contribute to technical vision and roadmap for production AI infrastructure.

Lead large-scale, technically complex cross-functional programs for enterprise platforms. Drive strategy, execution, architectural tradeoffs, dependency mitigation, platform consolidation, and grow TPM practice while collaborating with product, engineering, design, and data science teams.

The Senior Lead AI Engineer at Capital One will design, deploy, and support AI systems, working with cross-functional teams to innovate and enhance customer interactions while ensuring scalability and performance.