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 : Microsoft Azure Infrastructure as Code (IaC)
Good to have skills : NA
Minimum 7.5 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 project requirements. This role focuses on enhancing the performance, energy efficiency, and cost-effectiveness of the computational environment while ensuring scalability to support evolving AI workloads. The position requires continuous evaluation of emerging technologies and vendors to recommend the most suitable options. Collaboration with various teams to integrate full-stack AI infrastructure solutions is a key aspect, ensuring seamless operation and alignment with organizational goals.

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.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the design and implementation of AI infrastructure strategies that align with business objectives.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth.
- Coordinate cross-functional efforts to ensure infrastructure solutions meet performance and scalability requirements.

Professional Technical Skills:
- Must To Have Skills: Proficiency in Microsoft Azure Infrastructure as Code (IaC).
- Experience with cloud infrastructure automation and deployment using Infrastructure as Code methodologies.
- Strong understanding of cloud resource management, orchestration, and configuration tools.
- Ability to optimize infrastructure for performance, cost, and scalability in AI environments.
- Familiarity with integration of hardware and software components in AI computational stacks.
- Knowledge of vendor evaluation processes and technology selection for AI infrastructure.
- The candidate should have minimum 7.5 years of experience in Microsoft Azure Infrastructure as Code (IaC).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.




Qualification
15 years full time education