Artificial Intelligence Jobs in Santa Clara, CA

Lead consolidation and platform strategy for Jerry.ai's AI agent products. Own prompt consolidation, technical prioritization, API and system architecture decisions, OpenAI partnership and ChatGPT store presence, and coordinate engineering, data, and operations while maintaining the current AI platform and driving roadmap execution.

Lead development and scaling of a customer-facing AI agents platform. Own roadmap, prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and OpenAI to deploy voice and automation models, improve automation rates and answer quality, and drive experiments using data and SQL.

Lead end-to-end development and scaling of Jerry.ai's customer-facing Agentic AI platform. Own roadmap, partner with engineering on prompt strategies, evaluation frameworks, and guardrails, drive experiments to improve automation and satisfaction, translate technical concepts across the organization, and collaborate with partners (e.g., OpenAI) to deploy voice models and workflow automation.

Lead development and scaling of Jerry.ai's customer-facing Agentic AI platform. Define roadmap, partner with engineers on prompt strategies, evaluation frameworks, and guardrails; optimize latency, cost, and accuracy. Drive experiments to improve automation, answer quality, and customer satisfaction, and collaborate with partners like OpenAI to deploy voice models and workflow automation.

Lead consolidation and strategy for a fragmented AI prompt/platform ecosystem, prioritize chatbot work, own OpenAI/ChatGPT integrations, coordinate cross-functional teams, maintain current AI platform operations, and drive decisions on emerging tech like voicebots.

Lead product development and scaling of Jerry.ai's AI agent platform. Define roadmap, design prompt strategies and guardrails, partner with engineering and OpenAI, run experiments to improve automation, answer quality, and customer satisfaction, and establish platform standards and evaluation frameworks.

Lead development and scaling of an agentic AI platform that automates customer sales and service using LLMs, human-in-the-loop feedback, and APIs. Drive roadmap, prompt strategies, evaluation frameworks, guardrails, and partnerships (e.g., OpenAI) to improve automation rates, quality, and customer satisfaction.

Lead development and scaling of Jerry.ai's agentic AI platform and customer experiences. Define roadmap, partner with engineering on prompts, evaluation, guardrails, and integrations (OpenAI/ChatGPT). Drive experiments to improve automation, accuracy, and customer satisfaction while translating technical work across the organization.

Lead development and scaling of a customer-facing AI agent platform: design prompt strategies, evaluation frameworks, guardrails, and integrations with OpenAI. Partner with engineering to improve automation, answer quality, and customer satisfaction through experimentation and production-grade deployment of LLM-based agents and workflow automation.

Lead end-to-end development and scaling of a customer-facing AI agents platform using LLMs and internal APIs. Define prompt strategies, evaluation frameworks, guardrails, and experimentation to improve automation rates and customer satisfaction while partnering with engineering and OpenAI.

Lead unification and evolution of the company's AI platform: consolidate distributed prompts, prioritize chatbot and agent work, own technical roadmap and OpenAI relationship, coordinate cross-functional teams, and keep production systems running while driving long-term architecture and platform decisions.

Lead end-to-end product for an agentic AI platform powering customer-facing automation. Define roadmap, prompt and evaluation strategies, guardrails, and experiments to improve automation rates, accuracy, and customer satisfaction. Partner with engineering and external model providers (e.g., OpenAI) to deploy voice and workflow automation, and establish platform standards and best practices.

Own and evolve Jerry.ai's AI platform: consolidate prompts from multiple locations, prioritize chatbot work, define platform architecture, manage the OpenAI relationship and ChatGPT App presence, evaluate emerging AI tech (voicebot, other applications), and coordinate cross-functional execution while keeping production systems running.

Lead product development and roadmap for an agentic AI platform that automates customer sales and service. Partner with engineers on prompt strategies, evaluation frameworks, guardrails, and API/system design. Drive experimentation to improve answer quality, automation rates, and customer satisfaction, and work with partners like OpenAI to deploy advanced voice and workflow models.

Lead integration of LLMs into ASIC physical design workflows: identify automation targets, build agentic PnR loops, evaluate LLM outputs versus sign-off criteria, create RAG pipelines indexing PDKs and runbooks, write Tcl bridge scripts to translate suggestions into EDA tool commands, and drive prototype-to-production delivery to reduce design cycle time.

Lead PR for NVIDIA AI software: craft narratives, pitch media, build relationships with AI software teams and reporters, implement cross-functional PR strategies, and secure impactful coverage across industries.

Support proactive PR storytelling about AI and industries (healthcare, sustainability, telecom, finance, media, energy, retail). Build and maintain media relationships, manage logistics for announcements, interviews, and events; coordinate partner review/approval; write press releases and company announcements; track and analyze media coverage; assist on special projects to promote NVIDIA's AI leadership.

Lead development of data pipelines, ETL, and analytics for pre- and post-silicon DFT data; apply statistical methods and applied AI/GenAI to solve EDA/DFT problems; design scalable distributed databases; collaborate across teams and mentor junior engineers.

Lead architecture and development of next-generation scale-up fabrics and collaborative communication for AI data-centers. Ensure scalability, reliability, and robust large-model training while partnering with hardware, software, and application teams to move innovations to production and manufacturing.

Work directly with enterprise customers to design, build, and deploy production voice AI applications. Integrate Retell APIs/SDKs, develop conversational workflows, debug telephony/SIP and infrastructure issues, optimize AI behavior and prompts, lead technical onboarding, and drive product improvements from proof-of-concept to production.

Lead architecture and development of next-generation scale-up fabrics and collaborative communication for AI data-centers. Ensure scalability, reliability, and robust large-model training across hardware, software, and applications while driving innovation and cross-functional implementation toward production and manufacturing.

Lead design and implementation of agentic code-generation systems, scale distributed high-performance production infrastructure, develop AI evaluation frameworks and benchmarks, optimize agent outputs for NVIDIA GPUs, and drive engineering standards for production-grade agentic AI.

Lead and transform the US pitch and pursuit process by embedding AI enablement across stages. Manage a searchable global pitch content library, maintain structured experience and CRM data, create reusable pursuit assets and prompt frameworks, and develop training and adoption materials. Partner with BD, lawyers, and global teams to improve workflow, support high-priority pitches, and oversee directory and awards submissions to increase speed, quality, and consistency of wins.

The role involves defining product vision and strategy for in-vehicle AI experiences, leading product execution, integrating AI, and partnering with engineering and automotive customers for successful deployment.

Lead end-to-end evaluation and benchmarking of NVIDIA's Generative AI (Nemotron) models for strategic ISV partners. Design evaluation frameworks, experiments, and metrics; translate results into go/no-go recommendations; deliver dashboards and executive readouts; partner with research, product, and engineering to set release criteria and drive model-improvement signals and roadmap priorities.