Industrial AI Solution Arch

Job Description: The Role and Impact This role is to drive the exploration, architecture, and adoption of next-generation AI solutions for industrial and manufacturing applications.This role will focus on identifying emerging Industrial AI use cases, translating customer challenges into scalable solution architectures, and accelerating the adoption of Intel platforms across the industrial ecosystem. The role will span traditional and emerging workloads including Computer Vision, 3D Vision, Edge AI, Generative AI and Agentic AI.Business group The Industrial AI organization drives innovation by developing advanced AI solutions that address real-world challenges across industries. By focusing on system-level integration, this group supports Intel's mission to deliver transformative technologies that empower businesses and accelerate progress. With a commitment to engineering excellence, the team collaborates across disciplines to unlock next-generation AI opportunities. Key Responsibilities - Design and implement integrated AI systems across hardware, software, firmware, and silicon components to meet customer

. - Collaborate with cross-functional teams to define AI systems architecture, ensuring alignment between use cases, product specifications, and implementation constraints. - Analyze, evaluate, and optimize AI systems for performance, reliability, scalability, and cost-effectiveness throughout the lifecycle. - Develop innovative methods in areas such as reinforcement learning, computer vision, machine learning, and robotics. - Conduct risk assessments and ensure system reliability, security, maintainability, and sustainability. - Deliver end-to-end technical solutions, including deploying AI systems, conducting benchmark tests, and preparing documentation. - Simulate real-life environments, analyze prototype performance, and provide actionable engineering insights. - Collaborate with internal teams, partners, and academic organizations to advance AI research, contribute to the AI product roadmap, and influence emerging trends.- Collaborate with OEMs, ODMs, ISVs, SIs, model vendors and end customers to develop scalable Industrial AI solutions. Qualifications: Minimum Qualifications - Bachelor's degree in a relevant field such as Computer Science, Electrical Engineering, or a related discipline. - 3+ years of hands-on experience in AI systems engineering with a Bachelor's degree OR 2+ years with a Master's degree OR no prior professional experience with a PhD. - Proficiency in deep learning algorithms, machine learning software frameworks, and AI system integration. - Experience with hardware-software co-design, system prototyping, and performance optimization. - Strong technical skills in areas such as reinforcement learning, policy learning, or computer vision. Preferred Qualifications - Demonstrated ability to work collaboratively in cross-functional teams to develop innovative solutions. - Excellent problem-solving skills and adaptability to evolving technical challenges. - Strong communication skills to translate technical concepts into actionable strategies for diverse audiences. Take the next step in your career and join Intel's Industrial AI team, where your expertise will shape the future of AI systems and solutions. Collaborate with world-class engineers and help create technologies that drive innovation and deliver meaningful impact.