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 : Generative AI
Good to have skills : Autosys
Minimum 18 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As an AI Infrastructure Architect, a typical day involves designing and constructing tailored Artificial Intelligence infrastructure and hardware solutions that meet specific organizational needs. This role requires continuous evaluation and enhancement of system performance, power efficiency, and cost-effectiveness while ensuring the scalability of the computational environment. The position also includes providing expert guidance on technology choices, assessing vendors, and overseeing the seamless integration of the entire technology stack to support advanced AI applications. Collaboration with various teams to align infrastructure capabilities with business objectives is a key aspect of daily activities.
Roles & Responsibilities:
Expected to be a SME with deep knowledge and experience.
Should have influencing and Advisory skills.
Engage with multiple teams and responsible for team decisions.
Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.
Lead the evaluation and selection of AI infrastructure technologies and vendors to ensure optimal alignment with organizational goals.
Drive innovation by identifying emerging trends and integrating cutting-edge hardware solutions to enhance AI system capabilities.
Mentor junior team members by sharing expertise and fostering a collaborative environment to support professional growth.
Professional & Technical Skills:
Must To Have Skills: Proficiency in Generative AI.
Strong understanding of AI hardware architectures and their impact on system performance and scalability.
Experience in optimizing computational stacks for power consumption and cost efficiency.
Ability to evaluate and integrate full stack AI infrastructure solutions from multiple vendors.
Skilled in designing scalable AI infrastructure that supports evolving business requirements.
Additional Information:
The candidate should have minimum 18 years of experience in Generative AI.
This position is based at our Gurugram office.
A 15 years full time education is required.

Work arrangement
No