Artificial Intelligence Jobs in Oakland, CA

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.

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 Corporate AI Engineer develops and operationalizes AI solutions across the enterprise, ensuring compliance and optimizing performance while working closely with various teams.

The AI Enablement Engineer leads programs for engineering teams to integrate AI, teaches best practices, and develops scalable learning models.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

The AI Engineer will develop scalable AI systems, optimize LLMs, maintain data workflows, and ensure system resilience while collaborating on innovative solutions.

As an AI/ML Platform Engineer, you will develop APIs, data pipelines, and workflows to support AI capabilities for scientific research, ensuring system reliability and scalability.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

The Senior AI Applications Engineer provides post-deployment support for AI solutions, ensuring high performance and customer satisfaction through technical expertise and problem-solving.

As an AI Analyst, you'll research the AI landscape and create impactful content for CIOs, synthesizing complex information into persuasive narratives to help drive executive decisions.

Design, ship, and scale production-grade AI systems, integrating LLMs with focus on reliability, safety, and performance. Collaborate across teams and mentor engineers.

Design, ship, and scale multi-agent systems, integrate LLMs and multimodal models, optimize AI workflows, and ensure production readiness in a hands-on engineering role.

The Product Manager will evaluate and manage relationships with LLM models, define product strategy, and coordinate cross-functionally to enhance customer experience while driving product roadmap and adoption.

The ML Software Engineer will design and develop scalable backend services for AI/ML workflows, focusing on data engineering and system reliability.

Lead business development and strategy for AI infrastructure, focusing on cloud compute buyers and establishing strategic partnerships in the technology ecosystem.

Develop CAD automation pipelines and collaborate with teams to optimize designs for micromachines, ensuring manufacturability and functionality.

Rapidly prototype and iterate AI-powered features (LLMs, embeddings, real-time audio, APIs), lead experiments from hypothesis to proof-of-concept, collaborate with product and engineering to translate prototypes into product-aligned solutions, and share learnings and artifacts to accelerate team innovation.

The Staff AI Engineer will design, implement, and maintain machine learning algorithms and systems, integrating AI components into applications and collaborating with cross-functional teams using cloud technologies and DevOps principles.

The Founding Account Executive will manage the full sales cycle for enterprise customers, focusing on regulated industries and driving long-term account growth.

The Staff ML/AI Engineer will design ML/AI systems, mentor engineers, collaborate across teams, and ensure models are effective and robust.

As a Staff/Principal AI Engineer, you'll design and implement AI strategies for legal tech, lead engineering teams, and guide AI projects while collaborating across departments.

As a Senior Software Engineer, you will develop AI agent applications, focusing on performance, integration with systems, and mentorship of junior engineers.

The Senior Solutions Engineer will bridge product and client-facing teams, ensuring the integration of AI solutions into insurer environments, while collaborating with sales and customer success for implementation and advocacy.

The Business Architect will integrate AI into business processes, educate stakeholders, and manage AI-related projects ensuring alignment with corporate goals.

The AI Enablement Operations Lead coordinates logistics for workshops, manages connections between stakeholders, and transforms processes into scalable systems for high-impact engagements.