Senior AI Platform Engineer

• 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.

Education & Experience Recommended
• 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

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