Senior Data Scientist III - Agentic AI RELX Group plcSenior Data Scientist III - Agentic AIWA$115,400–$192,300 / yearOur company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. About our Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.
NewSenior Data & AI Platform Engineer SmartIPlaceSenior Data & AI Platform EngineerDC, WAArchitectural Leadership: Lead the evolution of a scalable Data & AI platform, integrating Databricks, SAP (Datasphere/S/4), and Denodo virtualization into a governed, self-service ecosystem. Solution Delivery: Act as a hands-on lead developer for complex data pipelines, feature stores, and API-driven integrations that power enterprise-wide analytics and digital experiences.
Senior AI Architect - Enterprise Integrations IBMSenior AI Architect - Enterprise IntegrationsEast Wenatchee, WARequired technical and professional expertise** What You Bring Required Skills & Experience * 8+ years of experience in application or solution architecture, with at least 2+ years focused on AI/ML systems * Hands-on experience designing and building MCP (Model Context Protocol) servers * Proven experience integrating AI agents with enterprise systems and workflows * Deep understanding of agentic AI frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, or similar) * Strong knowledge of API design (REST, GraphQL), event-driven architecture, and enterprise integration patterns * Experience working with LLM providers (OpenAI, Anthropic, Azure, IBM, AWS, Google, etc.) and their APIs * Proficiency in Python and/or TypeScript/JavaScript for building AI integration solutions * Consulting or professional services experience - comfortable owning client relationships and leading engagements **Preferred technical and professional experience** Preferred Skills * Familiarity with cloud platforms (Azure, AWS, or GCP) and cloud-native deployment patterns * Experience with RAG (Retrieval-Augmented Generation) architectures and vector databases * Background in enterprise middleware or iPaaS platforms (MuleSoft, Boomi, Azure Integration Services) * Knowledge of AI security considerations including prompt injection, data governance, and access controls IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. You will be the subject matter expert at the intersection of AI agents and enterprise systems - designing and building the connective tissue that makes AI solutions work in the real world.
AI Director Banyan SoftwareAI DirectorWARemoteYou'll have a dedicated Project Manager / Scrum Master handling sprint cadence, backlog management, and stakeholder scheduling—freeing you to focus on shaping the modernization methodology, building a world-class FDE team, and defining how AI transforms legacy software at scale. FDEs embed directly with OpCo engineering teams to drive modernization, upskill developers on AI-assisted workflows, and ensure clean knowledge transfer.
Sr Software Engineer, Agentic AI VivintSr Software Engineer, Agentic AIVIRTUAL, WA$150,000–$180,000 / yearThis role will help Vivint move from AI-assisted workflows and LLM-powered features toward systems that reason over home context, use tools, maintain memory, evaluate outcomes, and operate safely. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing.
Senior Agentic AI Engineer NVIDIA CorpSenior Agentic AI EngineerWAMore recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing.
Senior AI Inference Compiler Engineer NVIDIA CorpSenior AI Inference Compiler EngineerWA$152,000–$241,500 / yearScope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler optimizations and kernel generation for neural networks, and other general software engineering work. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
Senior Compiler Engineer, AI Inference Platforms NVIDIA CorpSenior Compiler Engineer, AI Inference PlatformsWA$152,000–$241,500 / yearMore recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. • Collaborating with members of the deep learning software framework teams and the GPU architecture teams to accelerate the next generation of deep learning software.
Senior Solutions Architect, Generative AI NVIDIA CorpSenior Solutions Architect, Generative AIWARemoteLeading and developing proof-of-concepts for AI solutions applied to the Consumer Internet industry, including areas like LLMs and recommenders, and building collateral (notebook/code) as needed. Partnering with NVIDIA's software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback.
Senior Compiler Engineer - AI NVIDIA CorpSenior Compiler Engineer - AIWAThis role is focused on building AI-driven compiler intelligence for production compiler pipelines, delivering measurable improvements in performance and efficiency, and advancing LLM-enabled workflows for compiler decisioning and developer productivity. Design and implement end-to-end compiler optimization workflows, from feature engineering and model development to compiler integration and production rollout.
Senior DGX Cloud AI Infrastructure Software Engineer NVIDIA CorpSenior DGX Cloud AI Infrastructure Software EngineerWAp>As a senior DGX Cloud AI Infrastructure software engineer at NVIDIA, you will have the opportunity to work on innovative technologies that power the future of AI and data science and be part of a dynamic, diverse, and supportive team that values learning and growth. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars.
Sr Software Engineer, AI Experience VivintSr Software Engineer, AI ExperienceVIRTUAL, WATo the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. + Design experiments with Product and Analytics, including A/B tests, holdouts, interleaving experiments, contextual bandits, multi-armed bandits, or causal measurement where appropriate.
Software Engineer, DGX Cloud AI Infrastructure NVIDIA CorpSoftware Engineer, DGX Cloud AI InfrastructureWAIn this role you will help bring up, benchmark, and debug distributed LLM workloads on multi-GPU and multi-node deployments, and own the design and implementation of the benchmarking tooling, automation, and debugging workflows that support them. We are looking for a Software Engineer focused on bring-up, triage, benchmarking, analysis, and optimization of distributed training and inference workloads across NVIDIA GPU platforms at the largest scales we run.
Senior Software Engineer, DGX Cloud AI Infrastructure NVIDIA CorpSenior Software Engineer, DGX Cloud AI InfrastructureWAYou will lead deep performance and reliability investigations on multi-GPU and multi-node deployments, define how we benchmark and qualify new platforms, and build the resilience and failure-attribution capabilities that keep large clusters productive. We are looking for a Senior Software Engineer to lead the bring-up, triage, benchmarking, analysis, and optimization of distributed training and inference workloads across NVIDIA GPU platforms at the largest scales we run.
Senior Software Engineer, AI and DL Kernel Libraries NVIDIA CorpSenior Software Engineer, AI and DL Kernel LibrariesWA$184,000–$287,500 / yearThis means designing and building things like new abstractions, efficient attention kernel implementations, new LLM inference runtimes components, and kernel code generators to accelerate large language models, agents, and other high-impact AI workloads. As a member of the team, youll develop libraries, code generators, and GPU kernel technologies for NVIDIAs hardware architecture.
Principal Developer, AI Networking NVIDIA CorpPrincipal Developer, AI NetworkingWAIn this exciting role, you will profile, analyze, and optimize AI workloads on large-scale GPU and CPU clusters used for distributed Deep Learning LLM training and inference. Developing PyTorch trace-based profiling, analysis, and replaying toolset to aid in benchmarking, debugging, and co-designing network systems for LLM workloads.
Engagement Manager, AI Practice Workday IncEngagement Manager, AI PracticeWA$129,000–$193,400 / yearExperienced in relationship management, with the ability to establish and nurture long-term partnerships with enterprise customers at all levels, including C-suite executives, fostering trust and collaboration that drive successful AI adoption and customer loyalty. You will serve as a trusted AI advisor to your customers' senior leaders, guiding them through AI transformation by implementing change management best practices, educating end users, and identifying, prioritizing, and deploying AI use cases that deliver measurable business value.
Senior AI and ML HPC Cluster Engineer NVIDIA CorpSenior AI and ML HPC Cluster EngineerWAAs an expert, you will help us with the strategic challenges we encounter including: compute, networking, and storage design for large scale, high performance workloads, effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and growth planning across our global computing environment. As a member of the GPU AI/HPC Infrastructure team, you will provide leadership in the design and implementation of ground breaking GPU compute clusters that run demanding deep learning, high performance computing, and computationally intensive workloads.
Senior Software Engineer, AI Web Products NVIDIA CorpSenior Software Engineer, AI Web ProductsWAThe VLSI Productivity and Infrastructure team supports hundreds of chip design engineers by building internal tools and platforms that supercharge their everyday work. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing.
Engineering Manager, Inference Benchmarking - AI Perf NVIDIA CorpEngineering Manager, Inference Benchmarking - AI PerfWAAdvising upstream engine integrations involving vLLM, TRT-LLM, and SGLang in partnership with NVIDIA's Dynamo and NIM teams to maintain AIPerf's relevance across emerging hardware, workload categories, and inference configurations. What you'll be doing: Driving the technical roadmap for AIPerf's core infrastructure: load generation, ZMQ-based microservices, GPU telemetry (DCGM/PyNVML, Prometheus metrics, statistical confidence intervals, and Kubernetes-native deployment.
Senior AI Security Researcher NVIDIA CorpSenior AI Security ResearcherWAWe are looking for a researcher who can move fluidly from open-ended research questions to application within working systems: someone who can discover novel failure modes, build rigorous evaluation harnesses, prototype adversarial and defensive techniques, and turn findings into practical mitigations for engineering teams. You will build new methods, tools, evaluations, and proofs of concept that help NVIDIA understand and reduce security risk across AI models, AI platforms, autonomous agents, cloud services, developer tooling, and accelerated computing systems!
Data Manager - AI Development GE HealthCare Technologies IncData Manager - AI DevelopmentWAData Governance & Compliance Support • Support execution of AI data management practices including: • Data control planning • Data segregation between training, holdout, and testing datasets • Data preparation and inclusion criteria • Data traceability and usage documentation • Ensure datasets are properly documented and traceable to their original sources to support audits and regulatory submissions. This role works closely with AI/ML engineers to define data needs for AI features, coordinates with internal and external data collection teams/clinical team, oversees annotation activities, and ensures data readiness, traceability, and compliance throughout the AI development lifecycle.
Senior System-Manufacturing Co‑Design Engineer, AI‑Enabled NVIDIA CorpSenior System-Manufacturing Co‑Design Engineer, AI‑EnabledWAThe Silicon Codesign Group (SCG) sits at the intersection of architecture, silicon, systems, and manufacturing-where deep engineering judgment drives real-world product performance at scale. The SCG Architecture team is hiring a Senior System-Manufacturing Co-Design Engineer to design systems and silicon features that optimize power, performance, thermal efficiency, and manufacturability across GPUs and SoCs.