Artificial Intelligence Jobs in Berkeley, CA

Lead cross-functional teams to design and deliver commercial analytics projects for life sciences clients. Provide strategic guidance, analyze data, develop actionable insights, manage client communications and timelines, build/optimize data processes (including coding and visualization), support business development, and mentor junior staff.

The Engagement Manager will drive customer adoption of AI solutions, ensure successful deployments, and build strong relationships with enterprise clients to achieve transformational value with AI tools.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

Partner with executive sponsors and end users to identify high-impact AI use cases on Glean, run discovery workshops, scope pilots, build AI agents, drive adoption and expansion, and translate business needs into measurable outcomes.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

Design, build, and optimize AI-powered workflows and prompts for legal practice groups; collaborate with attorneys and IT; ensure quality, compliance, adoption, and reporting of AI solutions across the firm.

Lead and scale forward-deployed engineering pods to convert complex customer workflows into production AI agent deployments. Build operating cadence, quality bars, deployment playbooks, partner with product, and hire/coach leaders while staying technically hands-on to ensure reliable, observable, and safe agent systems.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

The Enterprise Account Executive will develop relationships with key decision-makers at Fortune-class enterprises, drive sales growth, and deliver solutions for voice call management to enhance customer experience.

The Lead AI Engineer will architect and guide the development of enterprise AI agents, mentor senior engineers, and ensure alignment with strategic goals.

Design and develop machine learning models for multimodal data integration, collaborating with scientists and engineers to create scalable solutions.

You will build and maintain AI-native application features, working with a team of AI and backend engineers to ensure quality and innovation.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

The Regional Sales Manager leads revenue strategy for AI Native across Western US, managing a team of 8 Account Executives, and driving regional performance, pipeline generation, and strategic growth.

Drive data-informed decisions using AI and machine learning to enhance financial products at Credit Karma through cross-functional collaborations and research.

Develop autonomous AI-driven security testing agents that perform vulnerability assessments in production applications. Collaborate with experts and innovate in offensive security.

As a Staff AI Software Engineer, you will design and build autonomous AI systems for security testing, focusing on reliability, scaling, and integration with enterprise infrastructure, all while collaborating with top security experts.

The Applied AI Engineer will develop end-to-end proofs-of-concept for AI integration, prototype systems rapidly, and collaborate with research and backend teams to deliver functional demos and documentation.

Design, optimize, and deploy multimodal AI models for real-world applications focusing on vision and language understanding, ensuring accuracy and performance in production systems.

Develop and prototype AI-driven applications, validate ideas with real data, and transition projects into production while collaborating with teams and customers.

As an Applied AI Engineer, design and build intelligent AI systems, manage data ingestion layers, and ensure security while scaling AI infrastructure.

The Product Designer will drive product design, engage in user research, create design deliverables, and collaborate closely with teams to shape innovative enterprise products.

As an Applied AI Engineer, you'll drive the development of AI-powered financial products, collaborating across teams to build and improve systems, optimizing generative AI applications, and contributing to foundational model applications.

The Head of Data & AI will architect and operationalize a data-driven future, shaping the AI-first data strategy and managing the data ecosystem from architecture to governance and activation to drive business intelligence and automation.