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 : AI Data Solution Architecture
Good to have skills : Software Product Management
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an AI Infrastructure Architect, your day involves designing and constructing tailored Artificial Intelligence infrastructure and hardware solutions that meet specific organizational needs. You focus on enhancing the performance, energy efficiency, and cost-effectiveness of the computational systems while ensuring they can scale effectively. Your role includes providing expert guidance on the latest AI infrastructure technologies, evaluating potential vendors, and overseeing the seamless integration of the entire technology stack. Collaboration with various stakeholders to align infrastructure capabilities with business objectives is a key part of your 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 development and implementation of AI infrastructure strategies that align with organizational goals.
- Facilitate communication and coordination between cross-functional teams to ensure project milestones are met efficiently.
- Mentor junior team members by providing guidance and support to foster their professional growth.

Professional Technical Skills:
- Must To Have Skills: Proficiency in AI Data Solution Architecture.
- Good To Have Skills: Experience with Software Product Management.
- Strong knowledge of AI hardware components and their integration within complex computational environments.
- Ability to analyze and optimize system performance, power consumption, and cost factors in AI infrastructure.
- Experience in evaluating and selecting technology vendors based on technical and business criteria.
- Familiarity with full stack integration processes and best practices for AI infrastructure deployment.
- The candidate should have minimum 7 years of experience in AI Data Solution Architecture.
- This position is based at our HDC3C - SEZ location.
- A 15 years full time education is required.




Qualification
15 years full time education