Top AI Jobs in San Francisco Bay Area, CA

The Senior Lead AI Engineer will develop and support AI software components, collaborate with cross-functional teams, and enhance banking experiences through AI systems.

The Principal Product Manager will lead the integration of AI into the product development lifecycle, define strategies for AI workflows, and drive cross-organizational adoption of AI standards.

As an AI Engineering Lead, you will build and lead a high-performing AI engineering team, define AI engineering functions, and collaborate to enhance product capabilities using cutting-edge AI technologies.

The AI Engagement Manager will lead strategic relationships with institutional owners to harness AI, improve asset performance, and drive measurable ROI across real estate portfolios.

Lead AI Engineer responsible for developing AI software components, partnering with cross-functional teams to deliver AI-driven products, and optimizing large-scale AI systems.

The Applied Researcher I will partner with cross-functional teams to develop AI-powered products, conduct applied research, and build AI foundation models using emerging technologies.

The Staff Product Marketing Manager will lead the strategic narrative and go-to-market efforts for AI messaging, collaborate with stakeholders, and support sales while delivering executive-level presentations and driving content strategy.

As an AI Product Engineer, you'll build and scale AI-powered features for Notion's Custom Agents, collaborating with teams to enhance user experience and implementing cutting-edge technologies.

Lead the design and deployment of AI agents, collaborating with teams to ensure AI safety and mentor technical staff.

Lead research on small language models, develop training methodologies, optimize architectures, ensure AI safety and mentor teams.

As a Member of Technical Staff, you will develop AI infrastructure, optimize performance for cloud environments, and collaborate with teams on architecture and reliability.

Seeking an experienced AI Systems Reliability Engineer to ensure the reliability and performance of AI services, focusing on metrics, monitoring, and incident response.

The AI Ecosystem Head will lead AI strategy, oversee partner integrations, mentor teams, and evaluate emerging AI technologies to enhance Postman's API ecosystem.

The role involves leading the implementation of an AI-powered Customer Agent Platform for enterprise customers, engaging in technical execution, strategic advising, and cross-functional collaboration to enhance customer experience and operational efficiency.

The Senior Lead AI Engineer will develop AI software components, partner with cross-functional teams, and contribute to AI system optimization. Key responsibilities include model training, deployment, and leveraging AI technologies to enhance banking services.

The Key Account Director, Data & AI Apps will expand client relationships with pharmaceutical companies, driving revenue through the use of Tempus' platform in precision medicine. Responsibilities include developing account strategy, maintaining executive relationships, negotiating contracts, and collaborating with cross-functional teams to deliver value.

The Product Manager will collaborate with teams to understand customer needs, design solutions, advocate for the product vision, and drive product performance and quality, especially in AI applications.

The Senior Lead AI Engineer will develop and support AI software components, lead cross-functional teams, and optimize AI solutions for Capital One's banking systems.

As a Senior Applied AI Engineer, you will develop AI solutions for business challenges, prototype innovative technologies, and ensure successful implementation for clients.

As Principal Product Manager, AI, you will define and execute the AI strategy at Drata, leading the development of AI-native experiences, collaborating with cross-functional teams, and driving the AI product vision while mentoring other product managers.

Lead the evolution of Gusto's AI-enabled workforce by integrating systems, enhancing agent experiences, and bridging AI strategy with execution.

The Senior Clinical Engineer defines product requirements, conducts testing, assesses clinical risks, and collaborates with cross-functional teams to ensure product efficacy and usability.

Drive the design and development of AI and ML solutions for member growth, leading technical architecture and mentoring engineers while focusing on advanced personalization and collaboration across teams.

The Project Leader/Manager is responsible for managing AI & Data projects in Life Sciences, focusing on data integration, analytics, and stakeholder engagement. They lead teams, ensure project delivery, and develop data solutions using various commercial pharma datasets and AI techniques.

The Distinguished AI Engineer will develop and support AI software components, lead AI system architecture, and mentor teams, focusing on scalable AI solutions.