Your browser does not support javascript! Please enable it, otherwise web will not work for you.

AI Infrastructure Architect @ Leading Client

Home > IT Infrastructure Services

 AI Infrastructure Architect

Job Description

What Youll Do

  • Architect the Future: Lead the end-to-end design and development of our AI infrastructure, encompassing hardware, software, networking, and multi-cloud environments
  • Innovate and Evaluate: Assess, select, and implement the best-in-class technologies, tools, and frameworks (e.g., TensorFlow, PyTorch, Kubernetes, Docker) to build and maintain our AI platforms.
  • Optimize for Performance: Engineer and implement infrastructure that scales seamlessly with our evolving AI/ML needs, continuously monitoring and optimizing for both performance and cost-efficiency.
  • Champion Security and Compliance: Define and enforce infrastructure standards and best practices, ensuring unwavering compliance with security policies, data protection regulations, and ethical AI principles.
  • Build Data-Driven Pipelines: Collaborate on the architecture and implementation of highly efficient data pipelines for our AI models, from ingestion and storage to processing and management.
  • Lead and Inspire: Provide technical leadership and mentorship to cross-functional teams, fostering a culture of excellence and best practices in AI infrastructure.
  • Solve Complex Challenges: Diagnose and resolve intricate infrastructure issues, ensuring the high availability and reliability of all our AI systems.
  • Stay Ahead of the Curve: Keep your finger on the pulse of the latest advancements in AI, machine learning, and cloud computing, driving innovation within the organization.
  • Document for Success: Create and maintain comprehensive documentation for all AI infrastructure designs, implementations, and operational procedures.

What Youll Bring

Education: A bachelors or masters degree in computer science, Engineering, or a related field.

Experience:

  • 15+ years of experience in infrastructure architecture.
  • A minimum of 3-5 years of dedicated experience in designing and building AI-specific infrastructure.
  • Proven success in deploying scalable and secure AI solutions in cloud environments
  • Extensive, hands-on experience with containerization and orchestration technologies like Docker and Kubernetes.

Technical Prowess:

  • Proficiency with the command line and experience with both cloud-native and on-premise data center deployments.
  • A strong understanding of deep learning architectures and the latest developments in Large Language Models (LLMs).
  • Expertise in NVIDIA hardware and software, including performance tuning and diagnostics.
  • Hands-on experience with GPU systems, including performance testing, tuning, and benchmarking.
  • Proficiency in programming languages such as Python.
  • A deep understanding of cloud service models (IaaS, PaaS, SaaS) and cloud-native architectures.
  • In-depth knowledge of networking, storage, and security best practices in a cloud context.
  • Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
  • Familiarity with DevOps and MLOps principles and practices.

Soft Skills:

  • Exceptional problem-solving and analytical abilities with a data-driven approach.
  • Excellent communication and interpersonal skills, capable of articulating complex technical concepts to diverse audiences.
  • Proven ability to lead, mentor, and collaborate effectively within a team environment.
  • A strategic mindset with the ability to align technical solutions with overarching business goals.
  • A proactive, adaptable, and continuous learner who thrives in a dynamic technological landscape.

Job Classification

Industry: Recruitment / Staffing
Functional Area / Department: IT & Information Security
Role Category: IT Infrastructure Services
Role: Infrastructure Architect
Employement Type: Full time

Contact Details:

Company: Leading Client
Location(s): Hyderabad

+ View Contactajax loader


Keyskills:   AI Infrastructure DevOps PyTorch MLOps Docker PaaS SaaS IaaS TensorFlow Kubernetes infrastructure architecture Python

 Job seems aged, it may have been expired!
 Fraud Alert to job seekers!

₹ Not Disclosed

Similar positions

Azure Infrastructure Engineer

  • Capgemini
  • 4 - 6 years
  • Mumbai
  • 3 days ago
₹ Not Disclosed

Cloud Jenkins L4 Specialist/ Architect

  • Cognizant
  • 9 - 14 years
  • Hyderabad
  • 3 days ago
₹ Not Disclosed

Devops Architect

  • Cognizant
  • 16 - 23 years
  • Chennai
  • 3 days ago
₹ Not Disclosed

Infrastructure and Platform Architect L2

  • Wipro
  • 8 - 10 years
  • Hyderabad
  • 9 days ago
₹ Not Disclosed

Leading Client

We are Multiple service provider org, (HR Recruitment specialist in IT / Non -ITES, Accounting Firms, Banking, BFSI, Retails, Shipping, Logistics, Marketing and Advertising, FMCG, Financial Services, BPO, Manufacturing, Online Education sector)