AI Infrastructure Architect

Project Role : AI Infrastructure Architect
Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.
Must have skills : Solution Architecture
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As an AI Solutions Architect you will be working on AI, ML, LLM and Agentic AI capabilities and engage in the framework of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams and global community will be essential to bring the latest & greatest (demos, tools, etc.) Roles & Responsibilities: - Expected to be a Subject Matter Expert with deep knowledge and experience. - Should have influencing and advisory skills. Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities and understanding of AI technologies. - Evaluate and recommend new tools and technologies that can improve the efficiency and effectiveness of AI solutions. Professional & Technical Skills: - Must Have Skills: Proficiency in Solution Architecture of AI, LLM, Agentic AI capabilities. - Experience with cloud-based AI infrastructure solutions. - Strong understanding of hardware optimization techniques for AI applications. - Strong understanding of cloud computing platforms and services. - Familiarity with AI frameworks and tools such as TensorFlow and PyTorch. - Familiarity with data processing and analysis tools. - Ability to evaluate and integrate third-party AI technologies into existing systems. - Ability to design scalable and efficient application architectures. - Experience with AI and machine learning frameworks such as TensorFlow or PyTorch, and proficiency with coding languages like Python or R. - Experience in implementing security best practices in AI solutions. Additional Information: - The candidate should have minimum 12 years of experience in Solution Architecture. - This position is based at our Bengaluru office. - A 15 years full time education is required.