Top AI Jobs in San Francisco Bay Area, CA

The Enterprise Account Executive drives enterprise sales focused on AI, data platforms, and digital engineering transformation, engaging senior technology leaders to close strategic opportunities.

The AI Data Engineer at NiCE will support interaction analytics, transforming unstructured customer experience data and collaborating with sales and product teams to enhance analytics solutions.

The AI/ML Specialist Solution Architect Intern will assist in designing AI solutions, learning about distributed workloads, and preparing technical materials, gaining mentorship and exposure to modern ML frameworks and GPU infrastructure.

Lead post-sales onboarding and customer engagement for Study Design products, ensuring smooth activation and driving value realization through analytics and AI practices.

The role involves partnering with product teams to enhance AI-driven contract review capabilities, ensuring legal accuracy, and providing training to users on best practices.

Join Uplane as a founding AI engineer to develop scalable AI systems. Responsibilities include building AI models, managing databases, and ensuring product alignment with user needs.

The AI Marketing Strategist will manage client relationships, advise on digital marketing, execute projects, and implement technology solutions to enhance marketing value.

The Staff AI/ML Engineer will lead AI product development, ensure system health, and collaborate with teams on product features while maintaining security and compliance.

Provide practical, production-focused mentorship to managers and executives in business-facing AI programs: guide project work, clarify generative and agentic AI concepts, discuss deployment trade-offs, and share strategies for evaluation, governance, and scaling AI in organizations.

The AI Data Engineer will build and manage data pipelines and infrastructure for ML/LLM applications, ensuring data quality and compliance, and collaborating with data scientists and AI teams.

Lead and build PushPress's data and AI foundation: define data strategy, architect pipelines and warehousing, ensure data quality and governance, enable AI product features, deliver analytics and reporting, and hire and grow a high-performing data team.

Lead Brainlabs' AI Visibility proposition: set GTM strategy, win new business, manage an AI SEO team (content, data, tech), define partners and measurement, and deliver thought leadership to maximize visibility across AI Search and LLM surfaces.

The Principal Applied Researcher in AI/NLP will lead development of AI/NLP solutions for healthcare, collaborating across teams to address complex problems and improve patient care.

Lead high-touch onboarding and implementation of AISim solutions, design reference architectures and integration patterns, enable secure enterprise deployments, provide technical escalation and root-cause analysis, and feed product and engineering to improve operability and customer experience.

The Senior Consultant in AI will design, build, and deliver AI/ML solutions on Azure, engage with clients, and develop project components independently.

Lead design and implementation of scalable data pipelines and ML feature flows, own data platform architecture, ensure governance and observability, optimize cloud infrastructure, mentor engineers, and collaborate with product and customer stakeholders to deliver AI-enabled data products.

Lead the buildout and scaling of AI capabilities at Optimal Dynamics, establishing engineering standards and delivering production systems. Own end-to-end initiatives from data readiness to production launch, collaborating cross-functionally and mentoring teammates.

The Senior Engineering Manager, AI manages a cross-functional team to develop AI capabilities, oversees sprint planning, and ensures delivery of AI initiatives while balancing team growth and product strategy.

Join a remote-first company focused on customer satisfaction and innovation in IT and Security, by collaborating with motivated team members.

The AI Product Engineer will design, build, and ship AI features for clean energy finance while collaborating with various stakeholders to improve transaction processes.

The AI Deployment Engineer partners with customers to integrate OpenAI Codex into their development workflows, providing technical expertise and facilitating training and demos.

As a Technical Lead, you'll design and build software analysis tools, shape system architecture, write production code, and guide small teams. This role combines technical leadership with hands-on engineering.

As a Forward Deployed Engineer, you will deploy, optimize, and scale AI inference systems, collaborating directly with customers to enhance performance and solve infrastructure challenges on Kubernetes clusters.

The Applied Scientist AI/ML Intern will work on building data pipelines, finetuning LLMs, and deploying AI models in a collaborative team environment.

The Forward Deploy Engineer collaborates with sales to design and implement proofs of concept (POC) for enterprise clients, focusing on integration and workflow optimization while providing product feedback to improve offerings.