Artificial Intelligence Jobs in Sunnyvale, CA

The Senior Machine Learning Engineer will develop and enhance Moveworks' NLU and agentic AI capabilities, deliver production-quality code, and solve complex engineering challenges in conversational AI.

The role involves leading teams in Microsoft Dynamics 365 implementations, mentoring junior staff, managing client accounts, and ensuring project quality and success through strategic planning and innovation.

Lead a team of engineers in developing AI data platform services, focusing on system design, execution, and team culture. Oversee project outcomes and mentor team members.

As a Software Engineer, you'll build AI agent systems, implement AI algorithms, collaborate across teams, and mentor other engineers, focusing on enhancing the AI Assistant platform.

As a Software Engineer, you'll contribute to developing AI agent systems, implementing algorithms, and enhancing products while collaborating with experts and mentoring other engineers.

As the Senior Data Scientist for AI & Model Risk, you will lead AI risk assessments, coordinate with stakeholders, evaluate AI system designs, and ensure compliance with risk management principles in financial services.

As a Software Engineering Co-op, you'll execute projects independently, engage with AI technologies, and collaborate on innovative ICT solutions to develop your engineering skills.

Lead AI FinOps governance to track and optimize AI spend across multi-cloud providers. Build KPI frameworks, anomaly detection, guardrails, and cost-reduction programs. Coordinate engineering, finance, and cloud vendors, deliver VP-level reporting, and operate as an independent program owner driving measurable savings and contractual correctness.

Design and build the agent execution harness and orchestration runtime to enable reliable, observable, and scalable agentic AI in production. Own fault tolerance, latency, throughput, prompt/version management, LLM integration, evaluation frameworks, and technical leadership to ensure safe, cost-efficient multi-step agent workflows at enterprise scale.

Lead design and implementation of conversational and agentic AI solutions for clients, building voice and natural language interfaces, prototypes, and responsive web front-ends. Conduct user research and usability testing, collaborate with cross-functional teams to integrate AI platforms (Dialogflow, Amazon Lex, Azure OpenAI, AWS Bedrock), and apply human-centered design to optimize contact center workflows and customer experiences.

Lead development and implementation of conversational and agentic AI solutions for contact centers. Manage cross-functional teams, translate client requirements into technical specs, design responsive UIs using AngularJS/React/Vue, run usability testing, apply human-centered design, and mentor junior staff while building client relationships to ensure successful delivery of AI-driven products.

The role involves developing, testing, and validating Generative AI agents and maintaining automated testing standards. Responsibilities include mentoring junior associates, analyzing complex issues, and applying governance controls in AI-driven solutions.

Lead development and implementation of AI-powered contact center and conversational solutions. Guide cross-functional teams to design natural language interfaces using Dialogflow and Amazon Lex, prototype UIs with Figma, conduct usability testing and user research, validate data integrity and security, build stakeholder relationships, and coach teams to deliver high-quality, client-aligned AI products.

As an AI Engineering Manager at PwC, you will lead the design and operation of AI-powered platforms, mentor engineers, and ensure project delivery excellence while focusing on security and scalability.

Lead the strategy for GM's mobile conversational AI experience, defining customer interactions via natural language across iOS and Android applications, partnering with various teams to ensure a cohesive user experience, setting success metrics, and continuously improving based on user feedback and metrics.

Design and build scalable microservices and platforms for AI security event processing, mentoring team members, and ensuring operational excellence.

As a Principal Product Manager, guide development of AI-powered employee experiences, collaborating with teams to create impactful products, translate user feedback, and stay updated on AI trends.

Sell and shape adoption of CoreWeaves AI Runtime Services by driving technical-commercial strategy, proving value with early customers, creating playbooks, and feeding product roadmap. Advise on serving frameworks, batching, execution isolation, throughput modeling, GPU utilization, and SLA structures while partnering with product, infra, and sales teams.

The Senior Solutions Architect will develop and deploy AI infrastructure solutions, work with customers, and drive technical pre-sales activities.

Design, build, and operate production-grade Java and Python microservices for AI-native features. Own APIs, distributed systems, Kubernetes deployments, AI model integrations, observability, and technical leadership across cross-functional teams.

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.

The Specialist Seller will drive go-to-market execution for AI Products, architecting deals, building partnerships, and developing success metrics for customer adoption while collaborating with teams for growth. Requires extensive experience in enterprise sales and AI-based selling.

Design, build, and operate production-grade agentic AI systems: multi-agent orchestration, enterprise-grounded reasoning using CMDB/Knowledge Graph, retrieval/RAG pipelines, model integration with frontier SDKs, and trust/safety/governance. Lead architecture, code quality, and mentor engineers for scalable, safe autonomous agents.

New graduate software engineer role building AI-powered backend systems for security operations. Work on ML models, AI agents, retrieval systems, data pipelines, APIs, and distributed backend services. Collaborate with engineers and researchers to deploy production-grade, scalable features and tests.

Lead design and delivery of production autonomous agents and agentic workflows: architect orchestration, integrate and optimize frontier LLMs, drive model fine-tuning and evaluation, mentor engineers, and translate business goals into safe, reliable, scalable AI-powered product experiences.