Artificial Intelligence Jobs in Berkeley, CA

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

Drive AI adoption across the organization by building and deploying AI solutions, integrating systems, and ensuring effective training and governance.

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.

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.

As a Designated Technical Support Engineer, you will provide proactive and reactive technical support to select customers, addressing issues, managing configurations, and enhancing customer satisfaction through effective communication and problem resolution.

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.