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.

Generative AI

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 developing 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-stack solutions to support advanced AI applications. Collaboration with various stakeholders to ensure alignment with strategic objectives 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.

- Expected to provide solutions to problems that apply across multiple teams.

- Lead the design and implementation of scalable AI infrastructure architectures that support evolving business requirements.

- Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.

- Coordinate cross-functional efforts to ensure infrastructure solutions align with organizational goals and compliance standards.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Generative AI.

- Strong expertise in designing and optimizing AI hardware and infrastructure components to enhance computational efficiency.

- Experience with evaluating and integrating AI infrastructure technologies from various vendors to build cohesive systems.

- Ability to analyze and improve power consumption and cost-effectiveness of AI computational stacks.

- Skilled in full stack integration of AI infrastructure solutions, ensuring seamless operation across hardware and software layers.

- Familiarity with scalability challenges and solutions in high-performance AI environments.

Additional Information:

- The candidate should have minimum 12 years of experience in Generative AI.

- This position is based at our Mumbai 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 at www.accenture.com 

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