Cloud Architect with AI

We are seeking an experienced AWS Cloud Architect with strong expertise in Artificial Intelligence (AI) and Machine Learning (ML) solutions. The ideal candidate will design, implement, and manage scalable, secure, and cost-efficient cloud architectures on AWS, integrating AI/ML capabilities to drive intelligent business outcomes.

Key Responsibilities:Cloud Architecture & Design

• Design and implement end-to-end AWS cloud architectures aligned with enterprise goals.
• Define cloud strategy, governance, and best practices for scalable and secure deployments.
• Architect hybrid and multi-cloud environments, ensuring seamless integration and migration.
• Oversee infrastructure automation using Terraform, AWS CloudFormation, or CDK.

AI/ML Integration

• Design and deploy AI/ML workloads on AWS using services like SageMaker, Bedrock, Rekognition, Comprehend, and Lex.
• Collaborate with data scientists to productionize AI models for real-world applications.
• Implement data pipelines and MLOps frameworks for continuous model deployment and monitoring.
• Utilize generative AI and LLM (Large Language Model) services to enhance cloud solutions.

Security, Performance & Compliance

• Ensure compliance with AWS Well-Architected Framework, including security, cost optimization, and performance.
• Implement IAM, encryption, and network security controls.
• Conduct performance tuning and cost optimization reviews for AI and cloud workloads.

Leadership & Collaboration

• Lead cross-functional technical teams, guiding cloud engineers and developers.
• Collaborate with stakeholders, data teams, and product managers to align architecture with business goals.
• Provide technical mentorship and contribute to architectural reviews and POC development.

Required Skills & Qualifications:

• Bachelor s / Master s degree in Computer Science, Engineering, or related field.
• 10+ years of IT experience, with at least 5+ years in AWS cloud architecture.
• Strong experience in AI/ML design, deployment, and integration within AWS.
• Deep expertise in:
• AWS Services: EC2, Lambda, ECS/EKS, S3, RDS, DynamoDB, VPC, CloudFront, CloudWatch, IAM.
• AI/ML Services: SageMaker, Bedrock, Comprehend, Rekognition, Transcribe, Lex, or similar.
• Data Tools: Glue, EMR, Redshift, Kinesis, Athena, Lake Formation.
• Automation & DevOps: Terraform, CloudFormation, Jenkins, GitHub Actions, CI/CD.
• Strong understanding of Python, PyTorch/TensorFlow, and data pipeline architecture.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Excellent communication and stakeholder management skills.
• AWS Certified Solutions Architect Professional or AWS Certified Machine Learning Specialty preferred.