AI Infrastructure Architect

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 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 the performance, power efficiency, cost-effectiveness, and scalability of the computational environment. The position also entails providing expert guidance on emerging AI infrastructure technologies, assessing potential 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 strategic objectives is a key aspect of daily activities.

Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- 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 design and implementation of scalable AI infrastructure solutions that align with organizational goals.
- Facilitate cross-functional communication to ensure infrastructure strategies support diverse project requirements.
- Mentor junior team members to foster skill development and knowledge sharing within the team.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Solution Architecture.
- Strong expertise in designing and optimizing AI hardware and infrastructure for performance and scalability.
- Experience in evaluating and selecting technology vendors to ensure best-fit solutions.
- Ability to integrate full technology stacks for AI applications, ensuring seamless interoperability.
- Knowledge of power consumption optimization techniques within computational environments.
- Familiarity with cost management strategies related to AI infrastructure deployment.

Additional Information:
- The candidate should have minimum 12 years of experience in Solution Architecture.
- This position is based at our Gurugram office.
- A 15 years full time education is required.