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:
Large Language Models (LLMs) Positive to have

skills:
Amazon Web Services (AWS) Minimum 15 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 organizational needs. This role requires continuous evaluation and enhancement of system performance, power efficiency, cost-effectiveness, and scalability across the computational stack. The position also includes providing expert advice on emerging AI infrastructure technologies, assessing vendor offerings, and overseeing the seamless integration of full-stack solutions to support advanced AI applications. Collaboration with various teams to align infrastructure capabilities with strategic 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.




• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Expected to provide solutions to problems that apply across multiple teams.
• Lead the evaluation and selection of AI infrastructure technologies and vendors to ensure optimal alignment with project goals.
• Drive innovation by identifying opportunities to enhance infrastructure efficiency and scalability through emerging technologies. Professional & Technical

Skills:
• Must To Have

Skills:
Proficiency in Large Language Models (LLMs).
• Positive To Have

Skills:
Experience with Amazon Web Services (AWS).
• Strong understanding of AI infrastructure design principles including hardware optimization and computational resource management.
• Experience in performance tuning and power consumption optimization for large-scale AI systems.
• Ability to integrate complex AI hardware and software stacks to achieve scalable and cost-effective solutions.
• Familiarity with vendor evaluation processes and full-stack AI infrastructure integration. Additional Information:
• The candidate should have minimum 15 years of experience in Large Language Models (LLMs).
• This position is based at our Kolkata office.
• A 15 years full time education is required.

📌 AI Infrastructure Architect (Kolkata)
🏢 Accenture in India
📍 Kolkata