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.

Mandatory Skills : Bedrock (Mandatory), Sagemaker, Lambda Functions (Mandatory), Guardrails (Knowledgebase), Solution Architect, S3, Cloudwatch, Cloud Trails, LB, VPC, experience on DR management

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 :

- 12+ years of overall IT experience, with 8+ 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