AI Software Solutions Engineer

About This Role

• The Role and Impact As an AI Software Solutions Engineer , you will contribute to Intel's artificial intelligence initiatives with a focus on Vision AI and Gen AI applications.
• You will work on AI solutions powered by Intel's innovative hardware and software products, supporting Edge AI adoption across manufacturing, retail, healthcare, transportation, and education industries.
• Your expertise will help optimise AI model performance and enable effective solutions for customers, partners, and internal teams.
• You will provide technical support and validation expertise, leveraging your knowledge to integrate, test, and validate AI software and frameworks that advance edge computing capabilities.
• This role offers the opportunity to contribute to Intel's AI solutions while working with cutting-edge technologies.
• Key Responsibilities: - Integrate and optimise AI solutions on Intel hardware platforms (CPU, GPU, NPU) - Ensure production readiness of AI applications, microservices, and libraries through validation processes - Perform benchmarking of AI models and pipelines optimised with OpenVINO toolkit across Intel CPUs, integrated GPUs, and NPUs - Support customers and ISVs in integrating Intel's Edge AI Suites & Libraries into their environments - Analyse performance bottlenecks and provide recommendations for optimisation on Intel platforms - Work with product teams to provide validation feedback and support requirements gathering Qualifications: Minimum Qualifications: - Bachelor's degree in Computer Science, Electrical Engineering, or a related specialized field, or equivalent experience per business needs. - 4+ years of experience with a Bachelor's degree, 3+ years with a Master's degree, or 1+ years with a PhD. - Proficiency in Python and software debugging, validation, and issue analysis. - Knowledge of AI fundamentals, AI productization platforms, and integration workflows. - Experience with containerization technologies (Docker) and basic orchestration tools. - Demonstrated problem-solving skills and ability to work with end-to-end AI workflows.