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# Senior AI Platform Engineer

- **Company:** HP Inc
- **Location:** Spring, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Systems Engineering, Microsoft Azure, C++ (Programming Language), Information Systems, Computer Programming, Computer Literacy, Software Debugging, Python (Programming Language), Software Engineering, Software Systems, SQL Databases, System Software, AI Platforms, Information Technology, Microservices
- **Published:** October 31, 2026
- **Apply:** https://dejobs.org/x/x/E61989DE46C14E8D988B9807F490DEB9/job/

## About the Role

* Four-year or Graduate Degree in Computer Science, Information Systems, or any other related discipline or commensurate work experience or demonstrated competence.

 * Typically has 7-10 years of work experience, preferably in systems engineering, computer programming language, or a related field.

Preferred Certifications

 * Certified Software Systems Engineer (CSSE)

 * Certified Systems Engineering Professional (CSEP)

Knowledge & Skills

 * AI workloads and inferencing

 * Agile Methodology

 * Application Programming Interface (API)

 * C++ (Programming Language)

 * Computer Science

 * Debugging

 * Microservices

 * Microsoft Azure

 * Python (Programming Language)

 * Scalability

 * Software Development

 * Software Engineering

 * SQL (Programming Language)

 * Windows 11 internals

Cross-Org Skills

 * Effective Communication

 * Results Orientation

 * Learning Agility

 * Digital Fluency

 * Customer Centricity

Impact & Scope

 * Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity

 * Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

## Description

* This role is responsible for overseeing the design, implementation, and maintenance of robust and scalable AI software systems for HP commercial PCs. The role collaborates with cross-functional teams, including AI software developers, system administrators, and project managers, to create solutions that integrate seamlessly with existing infrastructure and deliver value to end-users. The role ensures the efficiency, reliability, and performance of software systems. The role provides guidance to other team members on developing validation execution plans for new technologies.

Responsibilities

 * Focuses on delivering AI related system software for the best customer experience.

 * Oversees the installation, configuration, testing and maintenance of operating systems, AI application software, and system management tools.

 * Monitors and tests AI application performance for potential bottlenecks, identifies possible solutions, and works with developers to implement those fixes.

 * Optimizes software systems for performance, scalability, and resource efficiency to ensure optimal user experience.

 * Gathers all the system engineering requirements for the infrastructure components by working with engineering groups and other stakeholders.

 * Leads multiple project teams of other software systems engineers responsible for all stages of design and development for complex products and platforms, including solution design, analysis, coding, testing, and integration.

 * Manages and expands relationships with internal and outsourced development partners on software systems design and development.

 * Reviews and evaluates designs and project activities for compliance with systems design and development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.

 * Provides domain-specific expertise and overall software systems leadership and perspective to cross-organization projects, programs, and activities.

 * Drives innovation and integration of new technologies into projects and activities in the software systems design organization.

 * Provides guidance and mentoring to less- experienced staff members.