Architect Aws

Role: AWS Architect with DevOps & AI/ML Expertise

Exp: 11+ years

Loc: Hyderabad (Hybrid)

We are seeking a highly experienced AWS Architect with a strong DevOps background and proven knowledge in AI/ML platforms. This role demands 10+ years of overall experience, with the ability to provide strategic architecture leadership while being hands-on with technical execution.

Key Responsibilities

Architect and optimize secure, scalable AWS cloud solutions for enterprise systems and AI/ML workloads.

Build and deploy GenAI applications using Amazon Bedrock and SageMaker

Develop and manage MLOps pipelines for model training, testing, and deployment

Design and manage VPC networks, hybrid cloud environments, and advanced networking architectures.

Lead cloud strategy while actively working with AWS CLI, automation scripts, and infrastructure provisioning.

Define, implement, and manage CI/CD pipelines, ensuring efficient deployments for both DevOps and AI/ML use cases.

Support AI/ML development teams with cloud-native infrastructure, GPU/compute resource management, and scalable data pipelines.

Collaborate with stakeholders to deliver future-ready, cost-optimized, and compliant cloud solutions.

Create documentation, best practices, and mentor teams where required.

Required Skills & Experience

10+ years of overall IT experience, with 7+ years focused on AWS Architecture and DevOps.

Proven expertise in VPC networking, AWS multi-account design, and security best practices.

Strong proficiency in AWS CLI, Terraform/CloudFormation, CI/CD automation, and container orchestration (Docker/Kubernetes).

Hands-on exposure to AI/ML platforms and workflows (AWS SageMaker, EC2 GPU, Lambda, EKS, or similar).

Familiarity with deployment automation, release management, and monitoring tools.

Strong consulting, problem-solving, and communication skills.