Artificial Intelligence Jobs in Santa Clara, CA

The role involves developing marketing strategies for NVIDIA's AI products, creating marketing materials, and engaging with developers and stakeholders to communicate product value.

The intern will design and implement AI-driven automation workflows to enhance the silicon testing process, collaborate with engineers, and document automation recipes.

Assist in deploying and monitoring Cerebras AI infrastructure, perform troubleshooting, collect telemetry, and learn through shadowing senior engineers.

Lead AI technical strategy, architect AI systems, set safety standards, mentor engineers, and evaluate AI models at Midi Health, a healthcare-focused company.

You will design and build LLM-powered features, integrate AI capabilities into workflows, and contribute to internal practices at a healthcare-focused company.

Lead the development and management of AI infrastructure, ensuring optimal performance of systems and providing mentorship to engineers while deploying advanced AI models.

Design, develop, and productionize scalable AI tools for systems engineering in autonomous vehicles, integrating data for traceability, and building backend services.

The Founding AI Engineer will design and build an AI-native compliance platform, handling complex financial data and developing scalable backend services, while establishing processes for enterprise readiness.

The role involves leading product strategy for search at eBay, improving user experience through AI-driven features, and working with cross-functional teams.

Lead and inspire a small team in AI research focused on autonomy and knowledge capture related to semiconductor equipment. Responsible for project roadmap and development of software modules.

As Principal Product Manager, you will define the vision and strategy for personal AI agents, prototyping new capabilities and partnering with cross-functional teams to drive product development and success metrics for Expedia Group.

Develop and manage a Machine Learning platform, implementing user interfaces, ensuring security, optimizing performance, and collaborating with data scientists.

Design and scale GenAI-powered product marketing capabilities: codify PMM methodologies, build agentic workflows and prompt systems, prototype with Python/Streamlit, and partner cross-functionally to productionize AI-enabled GTM, segmentation, and messaging workflows.

Design, develop, and maintain generative AI and cloud-based AI solutions using Microsoft Azure and Power Platform tools. Collaborate with cross-functional teams to gather requirements, build scalable AI applications, deploy and manage models with Azure Machine Learning, test/debug, document designs, and provide training and user support.

Build and prototype state-of-the-art large language models and AI assistants, take services from ideation to production, fine-tune open-source models, use LLM platforms, analyze model statistics and projections, and collaborate cross-functionally in a fast-paced hybrid Palo Alto environment.

Design, build, and operate cloud-native infrastructure and CI/CD/GitOps for AI/LLM applications across AWS and Azure. Develop Python services, IaC (Terraform/CloudFormation), container orchestration, monitoring, and platform tooling. Partner with ML/product teams, participate in on-call rotations, and promote secure, scalable AI-native development practices.

Develop AI systems technologies for efficient inference, optimize kernels for AI workloads, and collaborate on deep learning frameworks and libraries.

Lead the development of AI applications and solutions at NVIDIA, focusing on fine-tuning large language models and creating advanced multi-agent systems for chip design.

Lead end-to-end development and scaling of Jerry.ai's AI platform, designing prompt strategies, evaluation frameworks, and guardrails; translate technical tradeoffs for stakeholders; run experiments to improve automation, accuracy, and customer satisfaction; partner with OpenAI to deploy new models and voice/workflow automation.

Lead end-to-end product development for an AI agent and platform that automates customer interactions. Define roadmap, prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and OpenAI to deploy models and voice/workflow automation, drive experiments to improve automation rates, quality, and customer satisfaction, and establish AI best practices.

Lead development and scaling of Jerry.ai's AI platform: define roadmap, design prompt strategies, evaluation frameworks and guardrails, partner with engineers and OpenAI, run experiments to improve automation, accuracy, and customer satisfaction.

Lead end-to-end development of an AI agents and platform product, designing prompt strategies, evaluation frameworks, guardrails, and integrations with OpenAI. Drive automation, quality improvements, experimentation, and cross-functional translation between product, engineering, and applied AI.

Lead end-to-end development of Jerry.ai's AI platform and customer experiences, designing prompt strategies, evaluation frameworks, and guardrails. Translate between engineering and business, drive experiments to improve automation, accuracy, and customer satisfaction, and partner with OpenAI on model and voice integrations.

Lead end-to-end development and scaling of an agentic AI platform that automates customer sales and service. Partner with engineering to design prompts, evaluation frameworks, guardrails, and APIs; run experiments to improve quality, satisfaction, and automation; collaborate with OpenAI on model and voice integrations; translate technical tradeoffs across the organization and establish AI best practices.

Lead development and scaling of Jerry.ai's AI agents and platform. Define roadmap, design prompt strategies, evaluation frameworks, and guardrails. Serve as technical translator across engineering and org, run experiments to improve automation and quality, and partner with OpenAI to deploy new model and voice capabilities.