AI Infrastructure Architect

AI Infrastructure Architect

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.

Microsoft Azure Infrastructure Architecture

NA

Minimum

year(s) of experience is required

15 years full time education

Summary:

As an AI Infrastructure Architect, a typical day involves designing and constructing tailored infrastructure and hardware solutions specifically for artificial intelligence applications. This role requires careful consideration of performance optimization, energy efficiency, cost management, and scalability within the computational environment. The professional actively evaluates emerging technologies and vendors to recommend the most suitable options, ensuring seamless integration across the entire technology stack. Collaboration with various teams to align infrastructure capabilities with project goals is a key aspect of daily activities, fostering innovation and efficiency in AI deployments.

Roles & Responsibilities:

- Expected to perform independently and become an SME.

- Required active participation/contribution in team discussions.

- Contribute in providing solutions to work related problems.

- Lead the design and implementation of AI infrastructure solutions that meet evolving project requirements.

- Collaborate with cross-functional teams to ensure infrastructure aligns with AI model demands and operational goals.

- Continuously monitor and analyze infrastructure performance to identify areas for improvement and optimization.

- Support junior team members by sharing knowledge and providing guidance on infrastructure best practices.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Microsoft Azure Infrastructure Architecture.

- Experience with cloud computing platforms and virtualization technologies related to AI workloads.

- Strong understanding of infrastructure scalability, power management, and cost optimization strategies.

- Familiarity with hardware components and their integration within AI computational stacks.

- Ability to evaluate and select technology vendors based on performance, reliability, and cost-effectiveness.

Additional Information:

- The candidate should have minimum 3 years of experience in Microsoft Azure Infrastructure Architecture.

- This position is based at our Bengaluru office.

- A 15 years full time education is required.

15 years full time education

About Accenture

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