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 : AWS AI Services


Good to have skills : Large Language Models (LLMs)
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 specific organizational needs. This role requires continuous evaluation and enhancement of system performance, focusing on optimizing power usage, cost efficiency, and scalability across the computational environment. The position also entails providing expert guidance on emerging AI infrastructure technologies, assessing potential vendors, and overseeing the seamless integration of full technology stacks 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 alignment with organizational goals.

Drive innovation by identifying opportunities to enhance infrastructure efficiency and scalability through emerging technologies.

Professional Technical Skills:


Must To Have Skills:

Proficiency in AWS AI Services.

Good To Have Skills: Experience with Large Language Models (LLMs).

Strong understanding of cloud-based AI infrastructure design and deployment.

Experience optimizing computational resources for performance and cost-effectiveness.

Knowledge of hardware acceleration technologies and their integration with AI workloads.

Ability to assess and integrate full stack AI solutions across diverse technology environments.

The candidate should have minimum 6 years of experience in AWS AI Services.

This position is based at our BDC11 - SEZ office.

A 15 years full time education is required.


Qualification 15 years full time education