Cloud Platform Architect

Cloud Platform Architect

Project Role : Cloud Platform Architect
Project Role Description : Oversee application architecture and deployment in cloud platform environments -- including public cloud, private cloud and hybrid cloud. This can include cloud adoption plans, cloud application design, and cloud management and monitoring.
Must have skills : AWS Architecture
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.

As a Cloud Platform Architect, you will oversee application architecture and deployment in cloud platform environments, which includes public cloud, private cloud, and hybrid cloud. Your typical day will involve collaborating with various teams to design and implement cloud solutions, ensuring that applications are optimized for performance and scalability while adhering to best practices in cloud management and monitoring. You will also engage in strategic planning for cloud adoption and provide guidance on application design to enhance operational efficiency and effectiveness across the organization. AI Powered Tech Talent

Roles & Responsibilities:
Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.

Architect scalable, resilient, and secure systems for high-traffic, real-time environments.
Architect AWS native serverless solutions using relevant AWS native services.
Architecting Agentic and MCP solutions.
Estimate effort to support accurate planning and budgeting.
Define cloud infrastructure requirements for platform team.
Optimize performance and cost across AWS services using CloudWatch and observability tools.
Implement security best practices, including IAM, encryption, and compliance.
Mentor teams on AWS architecture patterns and best practices.
Required Skills:
Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.
15+ years overall experience, with 5+ years in cloud architecture.
Deep expertise in AWS services such as AWS Lambda, AWS Glue, Redshift , PySpark, Step Functions, API Gateway, SNS, SQS, EventBridge, SES, Apache Kafka (MSK), Amazon S3, Aurora (PostgreSQL), Dynamo DB
AWS Bedrock, Sagemaker, Agentic AI architecture exposure. Effective Promptingand Amazon Q exposure
Strong understanding of CI/CD, Infrastructure as Code, and DevOps practices, cloud security and compliance.
Excellent communication and leadership skills.
AWS Certified Solutions Architect – Professional certification., AWS ML specialist certificate
Additional Information:- The candidate should have minimum 12 years of experience in AWS Architecture.
- A 15 years full time education is required.