AI Infrastructure Architect People Prime Worldwide

4.0 - 15.0 years

0 Lacs

hyderabad, telangana

On-site

You will be joining a company that balances innovation with an open, friendly culture and the support of a well-established parent company known for its ethical reputation. At this company, the focus is on guiding customers from their current state to the next phase by leveraging the value of their data and applications to address digital challenges, ultimately benefiting both businesses and society. As an AI Infrastructure Architect, you will be responsible for leading the end-to-end design and development of AI infrastructure, spanning hardware, software, networking, and multi-cloud environments. Your role will involve assessing, selecting, and implementing cutting-edge technologies, tools, and frameworks to build and maintain AI platforms. You will also be tasked with engineering and implementing infrastructure that can seamlessly scale with evolving AIML needs while prioritizing performance and cost efficiency. In addition to technical responsibilities, you will play a key role in defining and enforcing infrastructure standards and best practices to ensure compliance with security policies, data protection regulations, and ethical AI principles. Collaboration on designing highly efficient data pipelines for AI models and providing technical leadership and mentorship to cross-functional teams will also be part of your duties. To excel in this role, you are required to have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with 15 years of experience in infrastructure architecture. Specifically, you must have at least 3-5 years of dedicated experience in designing and building AI-specific infrastructure, deploying scalable and secure AI solutions in cloud environments, and hands-on experience with containerization and orchestration technologies like Docker and Kubernetes. Proficiency in programming languages such as Python, a deep understanding of cloud service models, and expertise in NVIDIA hardware and software are essential qualifications. Moreover, you should possess exceptional problem-solving and analytical skills, excellent communication and interpersonal abilities, and a strategic mindset aligned with business goals. Being proactive, adaptable, and a continuous learner in the dynamic technological landscape will be advantageous for this role.,

Posted 20 hours ago

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