Artificial Intelligence Jobs in Fremont, CA

Lead development and scaling of an AI agent platform to automate customer interactions. Define roadmap, partner with engineering on prompt strategies, evaluation frameworks, and guardrails. Translate technical design across the org, run experiments to improve quality and automation, and work with OpenAI on voice and workflow model integrations.

Lead consolidation and strategy for a fragmented AI prompt platform, prioritize chatbot and agent work, own OpenAI partnership and ChatGPT presence, and drive platform architecture, migration, and cross-functional execution to scale AI-powered customer experiences.

Lead development and scaling of Jerry.ai’s agentic AI platform and customer experiences. Define roadmap, design prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and external partners (e.g., OpenAI) to deploy voice and workflow automation models, drive experimentation to improve quality and automation, and establish AI best practices and platform standards.

Lead the customer-facing Agentic AI product and unify fragmented LLM-driven systems. Own roadmap, partner with engineering on prompt strategies, evaluation frameworks, and guardrails. Translate technical design across the organization, run experiments to improve quality and automation rates, and collaborate with OpenAI to deploy next-generation voice and workflow models.

Lead end-to-end development and scaling of a customer-facing agentic AI platform using LLMs, agents, and internal APIs. Define prompt strategies, evaluation frameworks, guardrails, and experiments to improve automation, accuracy, and customer satisfaction. Serve as technical translator between engineering and product, work with partners like OpenAI, and drive production-grade workflows and integrations.

Lead end-to-end development and scaling of an agentic AI platform that automates customer interactions. Define roadmap, prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and OpenAI to deploy voice and workflow automation, improve answer quality and automation rates, and establish AI platform standards across the organization.

Lead the end-to-end development and scaling of a customer-facing agentic AI platform using LLMs and agents. Define prompt strategies, guardrails, evaluation frameworks, and API designs. Translate technical work across product and engineering, run experiments to improve accuracy and automation rates, and partner with OpenAI on voice and workflow model integrations.

Lead end-to-end development of Jerry.ai's agentic AI platform and customer experiences. Define roadmap, prompt strategies, evaluation frameworks and guardrails; partner with engineers and OpenAI; drive experimentation to improve automation, accuracy, and customer satisfaction.

Lead consolidation and strategy for a fragmented AI prompt/platform stack, own technical prioritization for chatbot/agent features, manage vendor relationships (e.g., OpenAI/ChatGPT), drive architectural decisions, coordinate engineering/data/ops to deliver production-grade LLM-powered customer experiences, and maintain day-to-day platform reliability.

Lead development and scaling of Jerry.ai's AI agent platform and customer experiences. Define roadmap, design prompt strategies, evaluation frameworks, and guardrails. Act as technical translator between engineering and the business, run experiments to improve automation, quality, and satisfaction, and partner with OpenAI on voice and workflow model integrations.

Lead development and scaling of a customer-facing agentic AI platform. Define roadmap, design prompt strategies, evaluation frameworks and guardrails, collaborate with engineers, run experiments to improve automation and satisfaction, and partner with OpenAI on voice and workflow model integrations.

Lead end-to-end development and scaling of a customer-facing Agentic AI platform using LLMs and agents. Define prompt strategies, evaluation frameworks, guardrails, and experimentation to improve automation, answer quality, and customer satisfaction. Partner with engineers and OpenAI to deploy voice and workflow models and serve as technical translator across the organization.

Lead consolidation and platform strategy for Jerry.ai's AI systems: unify prompt sources, prioritize chatbot technical work, drive architecture decisions, manage partnerships (e.g., OpenAI/ChatGPT), and coordinate cross-functional teams to deliver scalable, production-grade agentic AI products.

Lead and manage a team delivering advanced AI/HPC and data center infrastructure solutions. Oversee planning, budgeting, solution design, pre-sales technical support, vendor enablement, reference architectures, KPI reporting, documentation, and cross-functional collaboration to ensure successful deployment of GPU‑accelerated compute, networking, storage, and facility solutions.

This role involves driving new client acquisition and revenue growth through full-cycle sales execution and relationship building with stakeholders, while maintaining pipeline tracking in CRM.

Lead development and implementation of the firm's attorney AI learning strategy. Assess training needs, design curricula, credentialing, and workshops; coordinate cross-functionally with KM, IT, and practice leaders; track participation and outcomes; monitor legal AI tools and translate developments into practical lawyer-facing training and guidance.

Lead architecture and implementation of agentic AI systems powering Zuma's platform. Rebuild onboarding and integration frameworks, implement analytics and observability for LLM performance, translate product needs into technical solutions, mentor engineers, establish engineering standards, and work directly with customers to enable scalable, production-grade AI experiences.

Lead end-to-end development and production deployment of agentic AI systems and full-stack products. Architect integrations with property management systems, improve reliability and observability, define engineering standards, and partner with product and operations to ship scalable AI agents across voice, text, and email.

Lead identification, prioritization, and implementation of AI-driven use cases and automation across global programs. Drive POCs, design future-state workflows, gather requirements, build governance, create AI-enabled dashboards and playbooks, partner with IT/vendors, and train teams to increase adoption and operational efficiency.

Seeking Machine Learning Systems Engineers to build end-to-end 3D native ML systems, focusing on training and inference challenges.

The AI Infrastructure Engineer designs, develops, and optimizes core capabilities for the AI inference platform, focusing on reliability, scalability, and operability of infrastructure and services.

You will design and build high-performance graphics systems for 3D generative AI, collaborating closely with artists and researchers to innovate production pipelines.

The Director of AI Product Management at WatchGuard will drive the strategy and execution of an AI-powered action layer, manage the product roadmap, collaborate cross-functionally, and ensure value delivery to MSP partners.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.