Top AI Specialist Jobs in San Francisco Bay Area, CA

As an AI Product Operator, you'll lead the deployment of AI-driven automations, enable teams, and foster an AI-native culture at Ramp. Responsibilities include mapping processes, optimizing workflows, and coaching internal champions to enhance productivity.

Design, develop, and deploy custom ML models and transformer-based NLP systems. Build and maintain ML pipelines, fine-tune LLMs, implement RAG, monitor production performance, research new techniques, and mentor junior engineers.

Create, optimize, schedule, and publish blog and social content about AI applications. Test headlines, landing pages, and ads; review analytics, predict opens/clicks/conversions, write performance reports, and personalize curated content.

The AI Implementation Specialist will onboard and train customers on AI design software, providing support and creating educational resources, while focusing on user feedback and software adoption.

Create precise vector annotations and segmentation masks on geospatial imagery, validate and correct automated detections, maintain documentation and QA, support dataset pipelines, and assist ML teams with inference and model evaluation to produce production-ready training data.

Design, build, and operate a secure, scalable Generative AI platform on AWS (including Bedrock) to support production LLM applications in regulated financial environments. Own platform lifecycle: architecture, deployment, operations, monitoring, incident management, reliability, and performance. Implement LLM inference, RAG, Agents, guardrails, observability, security controls, access management, compliance, and cost optimization. Provide production support, reliability engineering, and AI governance.

The role involves designing and maintaining automated workflows, developing AI agents, integrating APIs, and optimizing automation systems while collaborating remotely with teams.

The AI Adoption Specialist guides organizations in integrating AI technologies, developing strategies, conducting pilots, and overseeing deployment while monitoring performance.

Review customer source documents and validate Prox AI agent outputs. Test demo agents, verify citations and visual artifacts, flag missing or incorrect specs, write actionable feedback, prepare demo and trial workspaces, and keep tasks updated in Attio/Slack.

The Automation / AI Specialist will design and maintain automated workflows, develop AI agents, integrate APIs, and troubleshoot technical issues in a remote environment.

Design and maintain automated workflows using n8n, develop AI agents and tools, integrate APIs, optimize systems, and troubleshoot issues.

The Specialist Solutions Architect will guide customers in architecting ML & AI applications, provide advanced technical support, and collaborate cross-functionally to enhance Databricks' AI offerings.

The AI Operations Specialist conducts quality reviews, tests new features, analyzes case data, collaborates with engineering, and supports customers in improving AI agent performance.

The AI Development Specialist engages with enterprise developer teams to sell coding assistants and AI solutions, co-sells with NVIDIA, and proposes consulting engagements, focusing on improving developer productivity and application performance.

Embed with business teams to design and build AI-powered tools, automations, and workflows; coach and enable staff; create reusable solutions, documentation, adoption metrics, and governance; mentor junior members and translate AI developments into practical enterprise applications.

The role involves designing and implementing automation systems, improving workflows, and developing tools for sales support using AI and automation platforms.

Design and build AI- and automation-driven solutions to accelerate Mortgage Cadence Platform configuration using LLMs and workflow automation. Develop integrations with system APIs, partner with implementation teams, create documentation and training, and propose new tools to improve implementation accuracy and scale.

The SAP AI Specialist will integrate AI within SAP systems, optimizing capabilities using SAP Joule and BTP AI services, and developing predictive analytics and automation solutions.

Design, develop, and deliver AI upskilling programs and materials, coach teams and leaders on applying AI, consult with stakeholders to identify learning needs, run pilots, measure impact, and embed AI into workflows and talent strategy across the organization.

Evaluate and improve AI-generated English (US) text for grammar, linguistic accuracy, and cultural appropriateness. Provide rewritten responses, create natural prompts and responses, perform preference ranking and grammaticality checks, and deliver clear constructive feedback while collaborating with global teams to enhance conversational AI datasets.

The AI Implementation Specialist analyzes client workflows, identifies automation opportunities, designs and implements AI-driven solutions to enhance business efficiency and productivity.

Design, build, and deploy production AI systems and integrations (LLM-based) for law-firm clients. Create connectors, automation workflows, agents, and enablement programs, embed AI into client processes, and support internal AI adoption.

PhD-level physicists will design challenging graduate-level physics problems and contribute high-quality datasets to improve AI model reasoning, ensuring scientific rigor and consistency while collaborating remotely and asynchronously.

PhD-trained STEM experts will design challenging domain-specific problems and datasets to improve large language model reasoning and accuracy. Work remotely, collaborate asynchronously, review and refine technical content, and adhere to structured guidelines. Ongoing independent-contractor role, 15–20 hours/week (up to 40), paid weekly.

Partner with research teams to design and evaluate complex, real-world operations tasks and solutions, provide actionable feedback, and improve LLM performance by contributing high-quality training and evaluation data.