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 : AWS AI Services
Good to have skills : Large Language Models (LLMs)
Minimum 15 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, focusing on optimizing power usage, cost efficiency, and scalability across the computational environment. The position also entails providing expert guidance on emerging AI infrastructure technologies, assessing potential vendors, and overseeing the seamless integration of full technology stacks 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 a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- 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 evaluation and selection of AI infrastructure technologies and vendors to ensure alignment with organizational goals.
- Drive innovation by identifying opportunities to enhance infrastructure efficiency and scalability through emerging technologies.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in AWS AI Services.
- Good To Have Skills: Experience with Large Language Models (LLMs).
- Strong understanding of cloud-based AI infrastructure design and deployment.
- Experience optimizing computational resources for performance and cost-effectiveness.
- Knowledge of hardware acceleration technologies and their integration with AI workloads.
- Ability to assess and integrate full stack AI solutions across diverse technology environments.

Additional Information:
- The candidate should have minimum 6 years of experience in AWS AI Services.
- This position is based at our BDC11 - SEZ office.
- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

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