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 : Large Language Models (LLMs) Good to have skills : Amazon Web Services (AWS) 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 organizational needs. This role requires continuous evaluation and enhancement of system performance, power efficiency, cost-effectiveness, and scalability across the computational stack. The position also includes providing expert advice on emerging AI infrastructure technologies, assessing vendor offerings, and overseeing the seamless integration of full-stack solutions 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 optimal alignment with project goals. - Drive innovation by identifying opportunities to enhance infrastructure efficiency and scalability through emerging technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models (LLMs). - Good To Have Skills: Experience with Amazon Web Services (AWS). - Strong understanding of AI infrastructure design principles including hardware optimization and computational resource management. - Experience in performance tuning and power consumption optimization for large-scale AI systems. - Ability to integrate complex AI hardware and software stacks to achieve scalable and cost-effective solutions. - Familiarity with vendor evaluation processes and full-stack AI infrastructure integration. Additional Information: - The candidate should have minimum 15 years of experience in Large Language Models (LLMs). - This position is based at our Kolkata office. - A 15 years full time education is required. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.