GEN AI Enterprise Architect

Key Skills: Machine Learning, AI, Artificial Intelligence, Data Science, Gen AI, C/C++, CUDA, Docker, Kubernetes, Full Stack Development, Cloud (AWS/Azure/VM), Networking Tools

Roles and Responsibilities:

• Lead the design and implementation of AI solutions across various platforms.
• Develop and optimize machine learning models and algorithms.
• Collaborate with cross-functional teams to integrate AI capabilities into existing systems.
• Oversee the transformation of data from CAD, Simulation, and JT files into Open VSD formats.
• Manage full-stack development, ensuring seamless interaction between front-end and back-end services.
• Utilize strong knowledge of C/C++ and parallel programming techniques, including CUDA C/C++.
• Demonstrate expertise in containerization and virtualization technologies, including Docker and Kubernetes.
• Diagnose and resolve networking issues using tools such as Wireshark and Iperf.
• Set up and manage workloads on various Cloud Service Providers (AWS, Azure, VM).
• Travel as required for conferences and on-site collaboration with developers.

Experience Requirement:

• 15-20 years of experience in the IT industry with extensive exposure to Machine Learning and Artificial Intelligence projects.
• Proven experience in designing and delivering large-scale AI and ML systems and managing their life cycle.
• Hands-on experience with full-stack development, cloud deployment strategies, and performance optimization.
• Demonstrated capability in containerized environments using Docker and Kubernetes.
• Solid track record of troubleshooting network and infrastructure-level issues using tools such as Wireshark and Iperf.
• Prior experience collaborating with cross-functional global teams and integrating AI into enterprise systems.

Education: Any Graduation