Top AI Automation Jobs in San Francisco Bay Area, CA

Lead AI partnership strategy and execution to grow AI Frontier Labs alliances. Own alliance performance, co-sell pipeline, joint GTM and solution development, partner account mapping, enablement, marketing, and executive alignment to scale generative AI adoption and revenue.

As a Principal AI Transformation Consultant, you will partner with AE firms to identify workflows for AI enhancements, lead discovery sessions, design transformation plans, and drive successful adoption of Champ for ERP, focusing on measurable outcomes and behavioral change.

Lead AI-driven automation for risk and compliance by defining strategy, roadmaps, and metrics. Partner with ML engineers, data scientists, design, legal, and operations to build, evaluate, and deploy safe, reliable automations; run experiments, define success/failure behaviors, and drive cross-functional execution to improve decision quality and operational efficiency.

Lead strategy and execution for AI-powered risk automation products. Identify automation opportunities, define product requirements, partner with ML/data/engineering/design, run experiments, set metrics for accuracy, safety, and reliability, and drive cross-functional launches to improve decision quality and operational efficiency.

The AI Enablement Lead will integrate AI across teams at Beast Industries by co-building workflows, automating processes, and enhancing productivity. They will work closely with various departments, showcase work, and stay updated with AI technologies.

Lead onboarding and implementation of AI solutions in banks. Manage customer transformation journeys, ensure project alignment, and facilitate engagement with stakeholders to achieve maximum ROI.

The AI Automation Senior Lead will build AI infrastructure, evaluate AI tools, redefine workflows, and maximize efficiency across teams at Taskrabbit.

The Senior Technical Product Manager leads the development of AI-enabled digital products, collaborating with stakeholders and managing the product lifecycle to drive business results.

Lead client engagements in insurance data, analytics, and AI: define roadmaps, run discovery sessions, design solutions, manage delivery and teams, develop proposals, and ensure DataOps, cloud (AWS), governance, and best practices across AI and analytics initiatives.

The Principal Consultant leads AI and digital transformation engagements, guides clients in identifying AI opportunities, builds strategies and roadmaps, implements solutions, and develops teams to achieve measurable business outcomes.

The Partner Value Solution Engineer empowers partners by providing technical guidance, developing enablement programs, and managing relationships to enhance the selling and delivering of NiCE solutions, particularly within AI and customer experience technologies.

The role leads AI adoption across business functions, prioritizing use cases, building business cases, and driving organizational change necessary for successful implementation. It requires collaboration with IT leadership and the presentation of ROI to business stakeholders.

Lead the design and delivery of AI-powered applications and intelligent workflows, optimizing AI systems, collaborating on real-world problems, and utilizing strong systems thinking.

As an AI Automation Engineer, you will partner with business groups to assess challenges and deliver AI-driven automation solutions while ensuring code quality and collaborating with cross-functional teams.

Lead intake, prioritization, and stakeholder engagement for enterprise AI opportunities; translate business problems into evaluable AI use cases, align to strategy and governance, define KPIs/ROI, and coordinate with execution teams and vendors to ensure responsible, feasible AI adoption.

The SME will develop a curriculum on AI for finance, creating engaging content and videos to train finance professionals in AI applications. They must leverage their extensive finance experience and AI understanding to enhance learner success.

Interns will build AI/chatbot experiences, support automation workflows and integrations, troubleshoot and enhance existing automations, and document their efforts for broader team use.

Lead automation and integration for credit risk model lifecycle as the team migrates from SAS to Azure Databricks and Python. Design scalable, repeatable model development, implementation, production, monitoring, reporting, and deployment pipelines; build reusable code libraries, containerized environments, orchestration, and data pipelines; partner with technology and stakeholders; select and onboard tools; and provide training and governance for model operations supporting CCAR, CECL, and commercial risk models.

Build and ship AI agents, automations, and internal/customer-facing tools to scale Customer Success. Scope priorities, select LLMs and frameworks, integrate with APIs/CRM, ensure production reliability with DevOps/Security, measure outcomes, and drive adoption through training and documentation.

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

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

Build AI-powered automations and agents that convert data outputs into timely, actionable workflows and dashboards. Audit manual data work, design automated reporting and alerts, maintain automation reliability, and partner with data and growth teams to accelerate GTM operations.

Lead development and scaling of an agentic AI platform and customer experiences. Own roadmap, collaborate with engineering on prompts, evaluation, guardrails, and APIs, run experiments to improve automation and quality, and partner with vendors like OpenAI to deploy next-gen models.

Lead end-to-end product development for an AI agent and platform that automates sales and service. Define roadmap, partner with engineering on prompts, APIs, evaluation frameworks, guardrails, and integrations (e.g., OpenAI/ChatGPT). Drive experiments to improve answer quality, automation rates, latency, cost, and customer satisfaction while establishing AI best practices and platform standards.

Lead end-to-end development and scaling of Jerry.ai's agentic AI platform and customer experiences. Define prompt strategies, evaluation frameworks, guardrails, and API/system architecture. Partner with engineering and OpenAI to deploy voice and workflow automation models. Drive experimentation to improve automation rates, answer quality, and customer satisfaction.