Artificial Intelligence Jobs in Sunnyvale, CA

Build and ship shared AI infrastructure, agent frameworks, and tooling; partner with product teams to productionize LLM and agentic features; own GenAI best practices for architecture, safety, evaluation, and deployment; develop agentic systems and AI SRE tooling; engage with customers to shape roadmap and demos.

Support teams building AI workflows, automations, and agents; implement monitoring and anomaly detection; analyze and prepare operational data for model training; document workflows and update playbooks; test prototypes, evaluate performance, investigate issues, and track operational KPIs. Participate in learning, networking, and project showcases.

Support design, build, and deploy AI/ML models and AI-powered HR features (agents, chatbots, recommendations). Collaborate with HR, IT, and data teams, build HR data pipelines, document workflows, and handle sensitive HR data with confidentiality.

Lead design, build, and maintain scalable AI agents and backend systems for real-time, high-volume security operations. Integrate LLMs/GenAI, design data flows, APIs, databases, and enterprise authentication, collaborate cross-functionally, monitor and improve system reliability and compliance.

Short-term intensive research internship assisting in dataset collection and preprocessing, model architecture design and tuning, implementation of testing frameworks, analysis of model accuracy and bias, algorithm refinement, and documentation to support foundation-model research.

Short-term, intensive internship supporting foundation model work: prepare datasets, assist with model architecture and testing, analyze outputs for accuracy and bias, refine algorithms, and document findings for research collaboration.

Define and execute AI channel strategy and co-sell motions, manage end-to-end partner relationships, drive partner-sourced pipeline, enable partners with sales and technical training, collaborate with sales and SE teams, and evangelize Everpure's AI storage portfolio (FlashBlade//EXA, Data Stream 1touch, NVIDIA).

Lead global go-to-market for Everpure's AI product line: translate AI capabilities into customer value, enable sales teams, craft executive narratives, drive adoption and revenue, and define KPIs for field readiness and growth.

Lead database engineering and AI-driven automation for high-traffic e-commerce systems. Manage Aurora MySQL/PostgreSQL and multiple NoSQL stores, optimize performance, ensure 5-6 nines availability, build automation and self-healing using Python and AI, run on-call rotations, execute upgrades/migrations, and collaborate with dev, infra, and security teams.

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 Research Scientist will develop and evaluate generative models for scientific data, collaborate with teams to apply AI in materials science, and mentor junior members while staying current in the field.

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 Agentic AI Systems Engineer will build infrastructure for GenAI applications, focusing on secure and scalable agentic systems, overseeing their lifecycle, and integrating AI capabilities into workflows.

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.

As a Social Media Intern at Inception, you will manage social content across platforms, engage with AI discussions, participate in product launches, and create engaging video content. Aimed at students with a passion for AI and strong writing skills, the role offers direct access to the founding team and the potential for full-time conversion.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

The role involves developing partnerships with ISVs delivering AgentOps services, managing technical engagement, and collaborating with teams for product integration and strategy.

The Senior Product Manager will lead AI product strategies for local deployment on NVIDIA platforms, focusing on developers and enterprise needs.

Lead strategic AI platform initiatives, define product vision, drive clarity in cross-functional engagements, and improve developer productivity by delivering AI-powered capabilities.