Artificial Intelligence Jobs in San Jose, CA

The role involves architecting a scalable AI platform, building distributed compute solutions, optimizing technologies, and mentoring internal talent in AI and ML.

As a Senior Lead AI Engineer, you will develop AI solutions, partner with cross-functional teams, optimize LLM performance, and contribute to the AI vision at Capital One.

Conduct applied research and develop AI foundation models, including large language models and agentic AI systems. Responsibilities span model design, training, evaluation, validation, optimization, deployment, and scaling. The researcher collaborates with data scientists, engineers, and product managers to translate advanced AI research into customer-facing products, deliver platform and solution code, evaluate emerging methods, and independently pursue impactful research agendas.

Lead architecture and implementation of AI-security products, define technical direction, drive cross-team initiatives, design secure scalable backend systems, and address systemic risks while remaining hands-on in coding, prototyping, and debugging.

Design, build, and operate production-grade agentic AI systems: multi-agent orchestration, retrieval-grounded reasoning, model integration, observability and governance, and production search/RAG pipelines at enterprise scale.

Design, build, and operate production-grade agentic AI systems that reason over enterprise data, perform automated actions across workflows, and run safely at scale. Responsibilities include multi-agent orchestration, retrieval-grounding (RAG), model integration, observability, trust and governance, and technical leadership across architecture and delivery.

Senior technical leader responsible for Dynatrace's cloud and AI partner engineering strategy. Manages partner solution architects to drive integrations with hyperscalers and LLM providers, influence product roadmap, create reference architectures and enablement content, execute joint GTM and co-innovation, and deliver partner-driven technical and business outcomes.

As a Lead AI Engineer, you will develop and support AI products, enhance system performance, and collaborate across teams to innovate AI solutions for Capital One.

Lead and grow an AI engineering organization building foundation-model training and LLM-powered production systems. Own design, deployment, optimization, evaluation, governance, and observability of scalable AI platforms; make build-vs-buy decisions across open source and SaaS AI technologies; drive technical vision and mentor engineering teams to deliver responsible, high-performance AI capabilities.

The role involves developing and deploying AI-powered products, optimizing performance, and collaborating with cross-functional teams to advance AI technology at Capital One.

Lead the design, development, and deployment of AI software components while partnering with engineers and scientists to deliver innovative AI solutions at Capital One.

Lead AI Engineer responsible for developing AI-powered products, optimizing large language model inference, and collaborating across teams to enhance customer interactions and business value.

Lead design, build, deploy, and support foundation model training and LLM inference systems, similarity search, guardrails, evaluation, and observability. Optimize production AI for scalability, cost, latency, and throughput. Collaborate cross-functionally, mentor engineers, and shape long-term foundational AI technical vision and roadmap.

Lead AI Engineer responsible for designing and developing AI-powered products, utilizing ML algorithms, and optimizing large-scale AI systems. Collaborate with cross-functional teams to enhance customer experience and drive AI initiatives at Capital One.

Leads SSD enablement, qualification, validation, and production readiness for NVIDIA, AMD, and other AI platforms. Coordinates customer and internal engineering teams to resolve hardware, firmware, PCIe/NVMe, thermal, power, performance, and interoperability issues. Identifies emerging AI storage workloads, conducts feasibility studies and proof-of-concepts, evaluates ecosystem trends, and develops future product opportunities.

Design, build, and optimize AI framework software for Intel CPUs, GPUs, and accelerators. Identify bottlenecks in PyTorch, vLLM, and related frameworks; profile training and inference workloads; optimize large language, generative AI, and scientific models; and resolve issues across framework, runtime, kernel, and hardware layers. Collaborate with engineering and architecture teams to improve AI performance, scalability, throughput, latency, and developer productivity.

Architect and build device-side telemetry, generative AI agents, predictive analytics, and autonomous network platforms. The role develops RAG and agentic AI solutions for proactive troubleshooting, root cause analysis, anomaly detection, and closed-loop remediation. It also leads multi-cloud data architecture across AWS and GCP, edge model deployment, MLOps/LLMOps, governance, and production collaboration with network, data science, and product teams.

Develop scalable data pipelines, analytics platforms, and machine learning infrastructure. Build and maintain software tools supporting AI-driven platforms, distributed data systems, and reliable analytics capabilities. Apply programming, data structures, algorithms, cloud technologies, machine learning frameworks, and distributed systems concepts while collaborating across Cisco business groups. This internship is intended for students enrolled in a degree or workforce development program.

Architects and delivers enterprise integration and API platforms using event-driven, asynchronous, cloud, and AI-augmented workflows. Develops reusable frameworks across SAP, SaaS, and partner ecosystems; governs APIs; integrates EDI, REST, GraphQL, and SOAP systems; and builds autonomous, self-monitoring and self-healing workflows. The role also requires programming, identity and access control expertise, CI/CD automation, observability, and close collaboration with Product and Engineering teams.

Develop production AI-powered systems that improve software quality, engineering productivity, debugging, and developer workflows. Build intelligent services involving code analysis, retrieval, orchestration, evaluation, monitoring, and large-scale engineering data. Partner across teams to translate workflow challenges into reliable AI solutions, evaluate models and frameworks, and optimize quality, latency, cost, and reliability from concept through deployment and continuous improvement.

Lead technical engagement for AI training and infrastructure at scale. Collaborate with engineering teams and customers to ensure successful deployment and optimization of AI/ML solutions.

Lead the architecture and development of Jerry.ai’s next-generation AI agents and workflow automation platform. Build conversational and computer-use agents, document validation, voicebot interactions, and integrations with external insurance systems. Evaluate emerging AI technologies, deploy production LLM systems, and improve reliability, latency, cost, evaluation, and failure handling. Partner with OpenAI on next-generation voice models and automation capabilities.

Lead the architecture and development of Jerry.ai’s next-generation AI and automation platform. Own conversational agents, voicebots, computer-use agents, backend workflow automation, document validation, transaction orchestration, and external insurance-system integrations. Evaluate emerging AI technologies, deploy production LLM systems, and partner with OpenAI on advanced voice and workflow solutions. The role requires end-to-end software ownership, strong architectural judgment, and experience managing evaluations, regressions, latency, cost, and failure handling.

Lead the architecture and production deployment of next-generation AI agents and workflow automation. Own conversational interfaces, voicebots, computer-use agents, document validation, transaction orchestration, and external system integrations. Evaluate emerging AI technologies, optimize LLM systems for reliability, latency, cost, and failure handling, and partner with OpenAI on advanced voice and automation models.

Lead the architecture and development of Jerry.ai’s next-generation AI agents and workflow automation platform. Own conversational interfaces, voicebots, computer-use agents, document validation, transaction orchestration, and integrations with external insurance systems. Evaluate emerging AI technologies, deploy production LLM systems, and partner with OpenAI on next-generation voice and automation capabilities. The role requires end-to-end software ownership, attention to evaluation, latency, cost, reliability, and failure handling.