Top AI Automation Jobs in San Francisco Bay Area, CA

The Senior Data Scientist will design data pipelines, build models for fraud detection, and automate data analysis using AI approaches, while managing cross-functional projects and mentoring junior team members.

Lead and build AI-powered automation across Customer Operations (CX, Claims, Underwriting). Own the automation roadmap, partner with Product and Engineering, design prompt and agent architectures, drive pilots to scaled production, build executive business cases, manage vendor tooling feedback, and grow a team of builders focused on GenAI integration and workflow automation.

Design and build automation frameworks and evaluation pipelines for agentic AI products. Develop non-deterministic tests, golden datasets, tool-use validation, prompt regression tests, latency/token monitoring, hallucination detection, and collaborate with AI engineers to convert requirements into measurable automated test cases.

Lead QA Automation for agentic AI products by designing eval pipelines, golden datasets, and automated tests for tool-use, hallucination detection, latency/token monitoring, and regression across models and prompts. Integrate performance testing into CI/CD and collaborate with AI engineers to convert requirements into measurable automated evaluations.

You will build AI-native creative workflows, generate production-grade assets, and establish automation systems for creative processes across multiple brands.

Build and maintain LLM-powered agents and automation pipelines to create, review, and publish educational content. Integrate and optimize Skilljar and Sanity CMS, eliminate content ops bottlenecks, partner cross-functionally, and implement interactive learning components to scale personalized learning.

Design and build AI-powered automation workflows and integrations for Pragmatico and clients. Lead discovery, architect solutions using LLM APIs and integration platforms (Zapier/Make.com), present solutions to stakeholders, train client teams, and create reusable automation frameworks and thought leadership content.

The AI Automation Engineer will apply AI in finance operations to automate processes like AP, AR, and reconciliation, ensuring compliance and performance measurement.

Build and maintain internal and customer-facing web/cloud apps and AI automations. Integrate with third-party APIs (QuickBooks, Microsoft Graph, Zoho, Zoom), implement generative-AI features, ensure security, deploy to cloud, and collaborate with leadership and IT. Work independently on design, testing, and maintenance across varied projects.

The role focuses on AI applied engineering, integrating AI into existing workflows, building automation and tools, and improving team efficiency. It requires strong engineering skills and an understanding of user workflows.

Lead the design and implementation of AI agents and automation across pro-code and no-code platforms. Define repeatable automation patterns, integrate AI platforms with business tools via APIs, build RAG pipelines and vector DB integrations, write Python scripts for complex integrations, and guide technical decisions while working closely with the VP of AI to review agent performance and scale solutions.

The Senior Business Process Analyst will lead automation initiatives in finance, optimize processes, assess automation opportunities, and collaborate with business and tech teams.

The Director of AI Automation leads AI-driven automation systems, translating strategic goals into practical solutions, managing teams, and enhancing operational efficiency.

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

The AI Automation Engineer develops AI-driven systems to automate sales and marketing workflows, partnering with various teams to enhance revenue generation and process efficiency.

Design, build, and deploy AI-powered workflows, internal tools, assistants, and platform capabilities to automate operational processes. Integrate LLM APIs, RAG/vector retrieval, and backend systems, collaborate with product and operations, and deliver production-ready solutions that reduce manual work and scale GreenLight's operations.

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 AI Automation Engineer will architect and build AI-driven GTM systems, write production code in Python, manage vector databases, streamline marketing and sales workflows, and ensure system reliability while collaborating across teams.

The AI Business Automation Engineer will design and implement AI-based solutions in collaboration with SMEs across Box, focusing on automating workflows and improving business processes. Responsibilities include prototyping, building integrations, ensuring data security, and operating developed systems.

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

As an AI Automation Intern, you will collaborate with the CEO and leadership team to design and implement AI-powered automations across various business functions, enhancing efficiency in operations, growth, and finance.

Lead enterprise AI product strategy, governance, and adoption for internal platforms and employee tooling. Prioritize high-value AI and automation use cases, run pilots, evaluate vendors, define FRDs/TRDs, manage delivery (QA/UAT, deployments, hypercare), and drive change management and metrics reporting to deliver measurable business value in a regulated fintech environment.

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.

As a Staff AI Engineer, you will design and implement AI-powered automation for internal departments, manage the full project lifecycle, and enhance various processes across CargoSprint, focusing on business impact and collaboration.