- Design and deploy AWS AI agentic and Bedrock-based solutions for generative AI use cases.
- Develop and maintain Infrastructure as Code (IaC) using AWS CDK in languages like Python or TypeScript.
- Implement secure, scalable, and cost-efficient cloud architectures.
- Collaborate with development and data science teams to integrate AI models into production workflows.
- Monitor and optimize cloud resources for performance and reliability.
- Ensure compliance with security best practices and organizational standards. Required Skills & Qualifications
- Strong expertise in AWS services, including Bedrock, Lambda, S3, IAM, and API Gateway.
- Proficiency in AWS CDK for IaC automation.
- Solid understanding of cloud architecture principles, networking, and security.
- Robust troubleshooting and problem-solving skills in distributed systems.
- Experience with CI/CD pipelines and DevOps practices.
- Familiarity with Python, TypeScript, or similar programming languages.
- Knowledge of AI/ML concepts and generative AI workflows is a plus. Preferred Qualifications
- AWS Certified Solutions Architect or AWS Certified Developer.
- Experience with observability tools (CloudWatch, X-Ray, etc.).
- Exposure to containerization (Docker, ECS, EKS) and serverless architectures.