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 : Agent Development

Good to have skills : Python (Programming Language), Large Language Models (LLMs), Agentic Design

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 organizational needs. This role requires continuous evaluation and enhancement of system performance, power efficiency, and cost-effectiveness while ensuring scalability of the computational environment. The position also includes providing expert guidance on technology choices, assessing vendors, and overseeing the seamless integration of the entire technology stack to support advanced AI applications. Collaboration with various stakeholders to align infrastructure capabilities with evolving AI demands 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.
Provide solutions to problems for their immediate team and across multiple teams.
Lead the evaluation and selection of AI infrastructure technologies and vendors to ensure optimal solutions.
Oversee the integration of hardware and software components to build a cohesive AI computational stack.
Mentor junior team members by providing guidance and support to foster their professional growth.

Professional & Technical Skills:

Must To Have Skills: Proficiency in Agent Development.
Good To Have Skills: Experience with Python (Programming Language), Large Language Models (LLMs), Agentic Design.
Strong knowledge of AI hardware architectures and their impact on system performance and scalability.
Experience in optimizing power consumption and cost efficiency in AI infrastructure.
Ability to evaluate and integrate diverse technology stacks for AI applications.
Familiarity with vendor management and technology assessment processes.

Additional Information:

The candidate should have minimum 8 years of experience in Agent Development.
This position is based at our BDC7A - SEZ location.
A 15 years full time education is required.