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

As a Senior Lead AI Engineer, you will develop AI solutions, partner with cross-functional teams, optimize LLM performance, and contribute to the AI vision at Capital One.

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.

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 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.

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 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.

Lead and scale enterprise product and experience teams to deliver human-centered, technology-driven digital products. Translate strategy into customer-facing solutions, drive business outcomes, solve complex problems cross-functionally, and provide transformational leadership to align stakeholders and mitigate product risks.

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.