Top AI Jobs in San Francisco Bay Area, CA

Lead the technical direction of AI agents, managing context and workflows while partnering with teams to align AI initiatives with business goals. Oversee architectural decisions and mentor engineers in AI practices.

Director of AI Solutions responsible for driving AI service offerings, collaborating with teams on market strategies, ensuring delivery readiness, and leading a team of architects.

Lead the strategic growth of TELUS Digital's Conversational AI Agents practice, focusing on innovative AI solutions integration, team leadership, and client engagement to drive exceptional customer experience outcomes.

Lead AI agentic deployments and design tailored solutions using Elastic technologies. Oversee technical delivery, mentor junior engineers, and ensure successful client partnerships in AI implementations.

As a Software Engineer at Central, you will architect workflows, build scalable systems with high reliability, and leverage AI to automate processes, ensuring compliance and data integrity.

The Senior Software Engineer - AI Applications will develop AI-driven applications using large language models. Responsibilities include building microservices, data handling, and collaborating on innovative AI solutions.

Lead AI-driven initiatives to enhance developer tools and workflows, utilizing machine learning and generative AI to improve veterinary software development.

As a System Engineer, you'll design, deploy, and maintain cloud systems for AI workloads, troubleshoot complex issues, and collaborate with teams to optimize performance.

The Lead Data Engineer will manage the AI Data Platform, scale data pipelines, ensure data quality, and lead technical strategy for data initiatives.

Deploy and configure CRMs, project management systems, automation workflows, data pipelines, analytics dashboards and AI solutions for US law firms. Diagnose operational bottlenecks, gather requirements, train clients, manage adoption, and own end-to-end implementations across multiple concurrent engagements.

As an engineering intern, you will develop AI solutions, collaborate with teams, optimize algorithms, document your work, and showcase projects.

Design, build, and operate end-to-end ELT pipelines that extract structured JSON from complex leasing documents using LLMs. Optimize LLM API calls and prompts, implement validation and monitoring, and collaborate with product and engineering to evolve schemas and ensure production-ready data quality.

Lead early-stage product experimentation and prototype spatial, 3D, and AI-driven experiences. Translate ML/CV capabilities into testable products, partner with engineering on execution, shape strategy across the portfolio, and communicate outcomes to stakeholders.

As a Senior AI Product Engineer at Poggio, you will build scalable platforms, collaborate with teams, and drive product initiatives to deliver AI-driven customer value.

Serve as the presales technical expert for ML capabilities: lead discovery, architect ML solutions, run demos/workshops/proofs-of-concept, coordinate cross-functional teams, and inform product direction based on customer feedback.

Design, architect, and deploy generative AI/LLM solutions from prototype to production; work directly with clients to translate business needs into technical plans; write production-quality code integrating LLMs and ML models; collaborate with cloud, DevOps, and frontend teams; support proposals, sales, and evaluation/observability of models.

The Applied AI Lead will develop go-to-market strategies, produce technical marketing materials, and collaborate with teams to promote Tellius' AI capabilities.

As an AI Engineer, lead the design and implementation of AI solutions in life sciences, focusing on model development, explainability, and collaboration with product teams to improve processing of complex data.

The role involves delivering solutions to technical problems, optimizing APIs, transforming requirements into tasks, mentoring, and participating in hiring.

The AI Architect will design and implement AI and ML solution architectures, focusing on Generative AI, data pipelines, and MLOps tooling for enterprise applications.

The AI Platform Analyst is responsible for supporting enterprise AI platforms, managing integrations, ensuring governance compliance, and providing training to users.

The Sr AI Platform Specialist Solution Architect will provide technical sales support for AI solutions, architect AI systems, and facilitate customer engagement, focusing on removing blockers for adopting Red Hat AI.

Lead the design and development of ML inference systems, focusing on generative AI models and optimization techniques for production environments.

The intern will analyze customer engagement data from multiple sources to derive insights, support customer retention strategies, and present findings to leadership.

The Solutions Architect will engage with strategic customers, design end-to-end solutions for AI-driven engineering workflows, and provide guidance on adoption strategies while collaborating with account teams and product stakeholders.