Top Tech Jobs & Startup Jobs in San Francisco, CA

Design, develop, deploy, and optimize large-scale AI systems, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Establish enterprise AI architecture standards, improve model performance and infrastructure efficiency, lead multi-cloud strategies, champion responsible AI, and mentor engineering teams and stakeholders.

Leads technical vision and architecture for Card Tech while delivering production software hands-on. Modernizes monoliths into microservices and event-driven platforms, establishes API and design standards, ensures performance, scalability, security, and operability, and mentors engineers. Collaborates across divisions on platform strategy, architectural reviews, technical standards, talent development, and AI-native software delivery.

Lead technical vision and architecture for full-stack engineering domains. Design scalable, operable solutions; modernize monoliths into microservices and event-driven platforms; establish API, coding, and design standards; and guide platform strategy. Provide hands-on technical leadership across multiple projects, mentor engineers, lead architectural reviews, communicate technical knowledge, and drive cross-divisional engineering excellence.

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

Leads an enterprise data science team developing agentic AI and machine learning products. Responsibilities include designing, training, validating, and deploying models; conducting A/B tests and telemetry analysis; analyzing large-scale numeric and textual datasets; translating findings into business strategy; partnering with data scientists, engineers, and product managers; and guiding C-suite decision-making and talent development.

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 scalability, cost, latency, throughput, safety, and reliability. Establish long-term platform strategy and company-wide AI standards while mentoring technical leaders and driving cross-functional adoption of responsible AI infrastructure.

Own consumer growth and retention product experiences for Capital One Shopping. Lead reward and activation strategies, personalized user journeys, rapid A/B testing, engineering collaboration, prioritization, business cases, and performance monitoring. Use SQL, Excel, financial modeling, and behavioral analytics to guide investment and product decisions. The role requires strong product leadership, technical curiosity, AI aptitude, and experience building consumer-facing digital products.

Design and lead scalable AI platforms and production systems, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Establish AI architecture, optimization, safety, and transparency standards; drive long-term infrastructure initiatives; integrate research into reliable products; and mentor senior technical leaders across engineering, research, and data disciplines.

Leads technical vision and architecture for Card Tech while remaining hands-on as a player-coach. Responsibilities include modernizing monoliths into microservices and event-driven platforms, defining API and platform standards, ensuring scalable and secure implementations, mentoring engineers, driving cross-divisional initiatives, and applying agentic AI coding tools. The role requires deep expertise in software engineering, enterprise architecture, cloud computing, data architecture, distributed systems, and technical talent development.

Leads technical vision and software architecture across the organization. Designs scalable, operable systems; modernizes monoliths into microservices and event-driven platforms; establishes API and coding standards; contributes hands-on engineering; mentors technical teams; drives cross-domain architecture reviews, innovation, and engineering excellence.