Top AI Automation Jobs in San Francisco Bay Area, CA

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.

Design, deploy, and improve endpoint systems with an automation-first mindset, using AI-driven tools for enhanced security and operational efficiency.

Design and build production-grade AI agents for executing complex workflows. Architect systems for validation and feedback to ensure reliability.

Lead AI and automation initiatives in Controllership, partner with IT and Accounting, drive change, and implement solutions to improve processes.

The ML Engineer will contribute to the automated discovery engine, developing RL frameworks, synthetic data engines, and evaluating performance using proprietary datasets.

As a Staff Software Engineer, you'll lead AI initiatives, design systems, and collaborate with teams to build impactful customer service products using generative AI.

Lead the design and implementation of AI-driven workflows, ensuring future business capabilities are AI-first while collaborating with cross-functional teams.

Lead the design and execution of AI-first automation solutions for Ops and Sales, partnering with leadership to create scalable workflows and ensuring high technical standards.

The AI Automation Engineer drives operational efficiency through AI automation in customer support, builds intelligent integrations, and measures performance across global operations.

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

Lead development and execution of MVB's AI and automation strategy, including Generative and Agentic AI and RPA. Partner with business and technical stakeholders to design, pilot, and scale solutions, establish governance and best practices, monitor performance metrics, manage vendors, and deliver training to ensure ethical, secure, and effective AI deployments.

The Global Indirect Tax Technology Manager leads tax technology initiatives, manages projects, designs automation and analytics solutions, and mentors team members to enhance tax department efficiency.

The Sr. AI Automation Engineer will transform workflows with AI automation, build deployment pipelines, and integrate AI systems into business functions.

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

The Senior Product Manager drives strategy for chat automation using Generative AI, collaborating with cross-functional teams to optimize user interactions, develop products, and evaluate performance metrics.

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.

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

The AI Automation Engineer Tech Lead will design, implement, and oversee AI-powered solutions and automation workflows while collaborating with business department leaders.

Design, build, and maintain AI assistants and automation workflows across HR, Finance, and Operations. Develop agentic AI, RAG, and integrations using APIs, middleware, and automation platforms. Ensure secure, scalable deployments, measure ROI, document solutions, and train teams on AI-assisted workflows.