Senior AI Platform Engineer, Agentic Computing Foundation

At HP, you’ll have a chance to create tools, technology, and solutions that reshape the way the world works in the future. If you’re looking to join a company that allows you to connect with a network of professionals eager to support you in doing your best work, we want to talk to you. Our legendary culture guides every employee toward success—fostering collaboration and driving innovation. Operating in over 170 countries, HP is always creating new services, products, and capabilities giving you more opportunities to advance your career. Here, innovation is the key to professional development and career mobility. When you join HP, you’re joining a company that believes every voice matters and that we all deserve a seat at the table. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves. You will be part of a global laboratory where different perspectives and experiences will help you solve problems in new ways. This is where you can build a long and wide-ranging career. About The Role We are looking for a Senior AI System Architect to shape the end-to-end architecture for agentic AI software on HP PCs. You will connect AI runtimes, Windows system software, device resources, cloud services, and enterprise requirements into a coherent design that engineering teams can build and validate. This role calls for broad PC systems expertise and enough depth in AI inference and orchestration to make sound architectural decisions. You will work across teams to define how workloads are coordinated and routed, how the platform responds to resource pressure, and how security and manageability are built into the system. You will lead through technical direction, design reviews, and close partnership with engineers implementing the architecture. What You Might Do Define system architecture and technical requirements for AI capabilities spanning Windows PCs, on-device runtimes, cloud services, and applications. Design how multiple agents and models interact with platform services and how workloads are placed across CPU, GPU, NPU, and cloud resources. Establish architectural approaches to memory, compute, latency, and thermal constraints so AI workloads preserve the overall PC experience. Define interfaces and integration patterns for internal features, external models, partner software, and system management components. Incorporate security, privacy, networking, deployment, and enterprise IT manageability into platform design from the outset. Work with AI platform, system software, security, and product teams to resolve cross-component dependencies and guide implementation decisions. Set validation criteria for performance, reliability, scalability, and resource efficiency; review test findings and drive architectural improvements. Review designs across projects, communicate trade-offs to technical and business stakeholders, and mentor engineers on system-level decisions. Essential Qualifications 7+ years of experience in systems architecture, system software engineering, or a related field, with experience designing complex software systems that ship in products. Strong knowledge of PC and operating system architecture, including how software interacts with compute, memory, networking, and device resources. Experience designing systems that integrate AI inference, runtimes, or model services with applications and platform software. Ability to make and communicate architectural trade-offs across performance, reliability, security, scalability, and user experience. Experience guiding multiple engineering teams through technical requirements, design reviews, implementation, and validation. Strong communication and collaboration skills across software, hardware, security, product, and partner organizations. Bachelor’s degree in computer science, information systems, a related field, or equivalent practical experience. Preferred Skills Deep familiarity with Windows architecture and commercial PC system software; knowledge of Linux is also valuable. Experience with AI or ML runtimes, agent orchestration, model serving, and local and cloud inference strategies. Knowledge of enterprise security, policy, networking, software deployment, and device manageability. Hands-on background with C++, C#, Python, APIs, containers, and cloud platforms such as Azure or AWS. Experience architecting systems that integrate software and capabilities from multiple silicon, hardware, or software partners. Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP, we offer a competitive and comprehensive benefits package, including: Health insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) When you join HP, you’re investing in your future—and so are we. You have priorities beyond work. That’s why we offer flexibility, support, and benefits that help you shape the life you want. Equal Opportunity Employer (EEO) Statement #J-18808-Ljbffr Hp Iq