We are looking for an experienced AWS + Generative AI Engineer to design and develop secure, scalable, and AI-powered cloud solutions on AWS. The ideal candidate will have expertise in AWS Machine Learning, AWS Bedrock, Data Pipelines, AWS Config, and cloud-native architectures. This role involves building enterprise AI solutions, developing data pipelines, and collaborating with cross-functional teams to deliver innovative cloud applications.
Top 3 Required Skills
- AWS Cloud & Machine Learning
- AWS Bedrock & Generative AI
- AWS Data Pipelines & Infrastructure Automation
Key Responsibilities
- Design and develop cloud-native applications using AWS services.
- Build and deploy Generative AI solutions using AWS Bedrock.
- Design and implement machine learning workflows, model deployment, and monitoring.
- Develop scalable data pipelines for analytics and AI workloads.
- Configure and manage AWS Config and governance policies to ensure security and compliance.
- Design secure, reliable, and cost-effective AWS architectures.
- Collaborate with data engineers, data scientists, and application teams to deliver AI-powered solutions.
- Implement Infrastructure as Code (IaC) and cloud automation.
- Optimize AWS environments for performance, scalability, and cost.
- Document architecture, technical designs, and best practices.
- Mentor engineering teams on AWS and Generative AI technologies.
Required Skills
- 12–16 years of experience in Cloud Engineering, Solution Architecture, or Enterprise Architecture.
- Strong hands-on experience with Amazon Web Services (AWS).
- Experience with:
- AWS Bedrock
- AWS Machine Learning Services
- AWS Data Pipeline or similar orchestration tools
- AWS Config
- Strong knowledge of Generative AI and Large Language Models (LLMs).
- Experience designing cloud-native and distributed applications.
- Experience with Infrastructure as Code (Terraform or CloudFormation).
- Strong understanding of cloud security, governance, and identity management.
- Excellent communication and stakeholder management skills.
Preferred Skills
- Experience with AWS-based commerce platforms.
- Knowledge of AI/ML model deployment and lifecycle management.
- Experience with cloud automation and DevOps practices.
- Experience with Python or other scripting languages.
Certifications
- AWS Certified Solutions Architect – Professional or
- AWS Certified Machine Learning – Specialty or equivalent AWS certification