Artificial Intelligence Jobs in Sunnyvale, CA

The role involves leveraging Microsoft Dynamics technologies to solve client business issues, managing projects, and delivering solutions in a consulting capacity.

Lead the design and implementation of Microsoft Dynamics 365 solutions, mentor team members, manage projects, and enhance client relationships to achieve operational efficiency.

The ERP AI Engineer - Manager at PwC leads teams in AI/ML engineering, manages client relationships, and designs AI solutions, all while mentoring team members and addressing complex business challenges.

Lead large-scale Microsoft Dynamics 365 CRM projects, provide strategic guidance, innovate processes, and coach teams while engaging senior clients to achieve operational excellence.

As a Manager, you will supervise teams, manage client engagements, and facilitate the implementation of Dynamics 365 ERP Finance. This includes analyzing complex business issues and ensuring adherence to methodologies and standards.

Lead the design and implementation of Microsoft Dynamics ERP solutions, manage large-scale projects, and innovate processes to enhance operational efficiency and client outcomes.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

The Senior Manager of Embodied AI will oversee AI/ML engineering teams, manage operational excellence in data scaling for autonomous vehicles, and collaborate across teams to improve performance and innovation in AV technology.

Lead US TMT business development with an AI focus: identify revenue opportunities from AI regulation, M&A, governance and data trends; develop client strategies, communications and targeted outreach; support pitches and major US TMT projects; coach and manage MBD colleagues; collaborate with partners and international teams to drive client relationships and revenue growth.

Lead a team developing AI/ML solutions for vehicle motion control and estimation. Oversee design, implementation, and deployment of embedded AI systems, mentor engineers, coordinate cross-functional teams, ensure project delivery using agile practices, and drive adoption of AI/ML across the organization.

Design and build production-grade full-stack, AI-enabled applications. Develop React/Next.js frontends, backend services on Kubernetes, integrate LLM/AI features, connect data platforms, implement CI/CD, automated testing, observability, and ensure secure, high-performance APIs and services.

Responsible for forecasting, planning, and financial analysis, building analytical tools, and providing insights while supporting senior management across the GeForce FP&A team.

As an AI/ML Engineer, develop and optimize analytics frameworks to enhance autonomous vehicle development, focusing on automation tools and collaboration with engineering teams.

The Technical Solutions Engineer resolves customer issues, troubleshoots complex network environments, and collaborates with engineering teams to ensure customer satisfaction.

The Solutions Architect will implement ERP projects focusing on NetSuite integration, optimize functionalities, and ensure system reliability while collaborating with stakeholders.

The Senior Software Engineer will build AI solutions for clinical workflows, collaborating with teams to enhance software architecture and mentor other engineers.

The AI Marketer/DevRel will enhance brand awareness through technical content, community engagement, and storytelling while fostering developer relations.

The AI Artist will enhance AI-generated videos, develop scalable prompts, maintain high output quality, and explore emerging AI tools.

Design and scale the infrastructure for Fury's AI model training and deployment, ensuring efficient data pipelines and collaboration with AI teams.

The internship involves multiscale modeling focusing on physics and AI modeling. Interns will run simulations and define workflows using Python and related libraries.

Provide legal guidance on AI-powered product features, conduct company-wide AI reviews, partner with engineering/product/security/privacy, communicate complex legal and technical concepts, and build scalable AI governance and compliance processes.

Own product lifecycle for Edge AI suites and tools: define value proposition and requirements, lead cross-functional teams, prioritize features, engage developers and partners, drive adoption, and support launches and marketing for open-source edge AI and robotics solutions.

Lead and grow a team to design and deliver end-to-end AI hardware/software systems and AI GPU platforms. Define product strategy and multigeneration roadmaps, align cross-functional stakeholders, translate customer insights into requirements, ensure software enablement, and drive execution and innovation across silicon, systems, manufacturing, and go-to-market.

Lead technical product marketing for AI compute, owning positioning, competitive strategy, and technical content. Translate systems-level innovations into customer and executive narratives, drive competitive intelligence, support launches, and lead a technical product marketing team aligned with product, engineering, and sales.

The internship involves researching emotional labor in difficult workplace conversations, evaluating AI platforms, and prototyping solutions within an interdisciplinary team focused on organizational behavior and wellbeing.