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Technical Architect - Cloud & AI Infrastructure

Technical Architect - Cloud & AI Infrastructure

CAPITAL NUMBERSGurgaon
29 days ago
Job description

Role : Technical Architect - Cloud & AI Infrastructure

Job Summary :

We are seeking a highly skilled and experienced Technical Architect - Cloud & AI Infrastructure to lead the design, development, and implementation of our scalable, secure, and high-performance cloud and Artificial Intelligence (AI) infrastructure. The ideal candidate will be a visionary leader responsible for architecting robust cloud environments that support advanced AI / ML workloads, ensuring operational excellence, cost efficiency, and seamless integration of cutting-edge technologies. This role demands deep expertise across major cloud platforms, infrastructure as code, containerization, and the specific requirements for deploying and managing AI / ML models at scale.

Key Responsibilities :

Architecture & Design :

  • Lead the architectural design and evolution of highly scalable, secure, and resilient cloud infrastructure solutions across multiple cloud providers.
  • Design and implement infrastructure specifically optimized for AI and Machine Learning (ML) workloads, including GPU orchestration, distributed training environments, and model serving platforms.
  • Create detailed technical designs, reference architectures, and implementation roadmaps for cloud and AI infrastructure initiatives.
  • Ensure all architectural designs adhere to best practices for security, compliance, performance, reliability, and cost efficiency.

Cloud Platform Expertise :

  • Drive the adoption and utilization of core cloud services including compute, storage, networking, security, and identity management.
  • Implement infrastructure as code IaC solutions using tools such as Terraform or CloudFormation to automate provisioning and management.
  • Architect and manage containerization and orchestration platforms using Docker and Kubernetes.
  • Develop strategies for hybrid cloud environments and cloud migration.

    • AI / ML Infrastructure :

  • Design and implement MLOps pipelines and platforms to automate the lifecycle of ML models, from experimentation to deployment and monitoring.
  • Architect data pipelines and storage solutions optimized for large-scale AI training data and real-time inference.
  • Evaluate and integrate AI / ML-specific cloud services and frameworks to accelerate development and deployment of intelligent applications.
  • Ensure secure and efficient management of AI / ML models, datasets, and compute resources.

    • Strategy & Roadmap :

  • Define the technical strategy and roadmap for cloud and AI infrastructure, evaluating new technologies and recommending their adoption to meet future business needs.
  • Provide expert guidance on cloud adoption frameworks, AI infrastructure best practices, and industry trends.
  • Influence technology choices and architectural decisions across various engineering teams.

    • Collaboration & Leadership :

  • Collaborate closely with engineering teams, data scientists, product managers, and security professionals to understand requirements and deliver integrated solutions.
  • Lead cross-functional technical discussions and drive consensus on complex architectural challenges.
  • Mentor junior architects and engineers, fostering a culture of continuous learning and technical excellence.

    • Optimization & Governance :

  • Implement strategies for cloud cost optimization, resource management, and governance across all cloud environments.
  • Establish and enforce security policies and compliance frameworks for cloud and AI infrastructure.
  • Monitor system performance, identify bottlenecks, and implement solutions to optimize the efficiency and reliability of infrastructure.

    • Required Skills and Qualifications :

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • Extensive experience in technical architecture roles, with a strong focus on cloud infrastructure.
  • Proven experience in designing and implementing infrastructure specifically for Artificial Intelligence and Machine Learning workloads.
  • Deep expertise in at least one major cloud platform AWS, Azure, or Google Cloud, with strong familiarity across others.
  • Hands-on experience with Infrastructure as Code IaC tools such as Terraform or CloudFormation.
  • Expert knowledge of containerization technologies Docker and orchestration with Kubernetes.
  • Strong understanding of MLOps principles, tools, and platforms.
  • Proficiency in programming and scripting languages including Python and shell scripting.
  • Solid understanding of networking, security, and database concepts in a cloud environment.
  • Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts to diverse audiences.
  • Demonstrated leadership qualities and the ability to drive technical initiatives.

    • Preferred Skills :

  • Professional certifications in cloud architecture AWS Certified Solutions Architect Professional, Microsoft Certified Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect.
  • Experience with specific AI / ML frameworks including TensorFlow or PyTorch.
  • Familiarity with big data technologies such as Apache Spark or Hadoop.
  • Experience with serverless computing paradigms.
  • Knowledge of FinOps principles for cloud cost management.

    • ref : hirist.tech)

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