Artificial Intelligence Jobs in San Jose, CA

Lead AI training and evaluation in GRC, develop methodologies, and engage with industry leaders to drive product alignment with compliance standards.

Lead design and implementation of AI solutions for various enterprise functions, optimizing systems for performance and collaborating with cross-functional teams.

Manage the entire recruiting life-cycle focusing on technical roles, build relationships with hiring managers, and ensure an equitable hiring process.

The Vice President of GenAI Engineering will lead global teams in developing advanced AI solutions, shaping the strategy for AI initiatives, and ensuring security and ethics in AI products.

The Staff Data Scientist will lead the design and development of Game Understanding Agents using machine learning methods, mentoring engineers and setting technical direction.

The role entails developing AI/ML applications, collaborating across teams, optimizing code, and mentoring juniors while focusing on user experience.

The AI Research Scientist will conduct research in reinforcement learning, develop applications for LLMs, collaborate on projects, and publish papers.

As Principal Product Manager for Platforms, you'll define the vision and roadmap, build self-service tools, and drive cross-team alignment, overseeing everything from agentic behavior to internal tooling. You'll impact customer experiences and product deliveries across the company.

Lead AI strategy and implementation, design AI systems, oversee model development, ensure ethical AI practices, and provide technical direction to teams.

The Principal Product Manager will oversee the Nexus AI platform's strategy and roadmap, ensuring it supports financial employees effectively and integrates seamlessly with existing systems.

The Senior Software Engineer will address challenges in healthcare logistics, optimize scheduling for mobile clinicians, and integrate technology with medical devices.

The Associate Director/Director will lead AI initiatives by managing strategic planning, program delivery, and stakeholder communication to drive adoption and value across the organization.

Lead the development of cognitive AI systems combining multimodal communication, cognitive reasoning, and human-computer interaction for financial applications. Responsibilities include designing intelligent interfaces and collaborating cross-functionally.

The Senior Technical Program Manager leads cross-departmental collaboration to enhance AI Assistant user experiences, ensuring project delivery aligns with defined standards and quality.

The Global Account Manager will integrate NVIDIA's AI and accelerated computing solutions within Cisco Systems, focusing on software sales and collaboration.

The Senior UX/UI Designer will work with various teams to create user-centered designs incorporating Generative AI, manage workflows, conduct research, and deliver design assets.

The Senior Staff AI Engineer will lead RL-driven AI systems architecture and development, mentor team members, and ensure robust integration into production systems.

As an AI Application Engineer, build and deploy Agentic AI applications for Fortune 500 companies, analyze customer requirements, and enhance the GenAI performance.

Drive strategy and execution for AI products, prototype AI workflows, collaborate with teams, and engage with customers to deliver impactful solutions.

As a Backend AI Engineer at DeepSearch, you will develop and optimize AI models, enhance product features, and collaborate with teams to improve search capabilities.

The AI Researcher & Engineer will develop AI models and systems, optimize product features, and collaborate on search capabilities to enhance user experience.

Drive large-scale process transformation using AI agents, collaborating with stakeholders to develop and implement enterprise-level AI solutions, and mentoring teams.

The role involves designing and optimizing HPC and ML frameworks, developing software for generative models, and collaborating with various teams to improve performance.

Lead the architecture, design, and deployment of scalable DC AI clusters. Collaborate with teams for performance improvement and technology selection.

Lead the design and implementation of AI services. Build scalable infrastructure for handling AI requests and collaborate across teams to shape future AI products.