AWS + Generative AI Engineer

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, * 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., Role: Java AI Engineer Location: Chicago, IL - onsite Job type: Contract Rate: $60/hr Job description 4-8+ years of experience in software engineering, ML engineering, …

• 2 days ago

• 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