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)
Valuable 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).
- Good 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.

15 years full time education

📌 AI Infrastructure Architect (West Bengal)
🏢 Accenture
📍 West Bengal