Senior AWS Cloud Generative AI Engineer

Smart IT Frame LLC; Minneapolis (MN); On-site; USD 130,000 - 170,000; Full time

Job summary

Smart IT Frame LLC in Minneapolis seeks a Senior AWS Cloud Generative AI Engineer to design, develop, and manage scalable cloud-native AI-powered applications on AWS. The role focuses on building secure, cost-efficient infrastructure and integrating GenAI capabilities using LLMs and RAG patterns.

You will lead DevOps practices, implement IaC with Terraform and CloudFormation, and collaborate with data teams to deliver enterprise-grade solutions while ensuring governance and security.

Qualifications

• 7+ years designing and delivering AWS cloud solutions.
• Experience building AI-powered cloud applications on AWS.
• Strong knowledge of security governance and cost optimization.

Responsibilities

• Architect scalable, secure, and resilient AWS cloud solutions for enterprise needs.
• Lead AI-powered application development using Generative AI frameworks and LangChain.
• Steer DevOps practices including CI/CD and IaC (Terraform/CloudFormation).
• Manage AWS services (EC2, EMR, Glue, S3, etc.) to support data and AI workloads.
• Collaborate with stakeholders to identify AI-driven business opportunities.
• Mentor junior engineers on cloud and AI initiatives.
• Optimize cloud infrastructure for performance and cost efficiency.
• Ensure compliance with cloud security standards and governance policies.

Skills

Led cross-functional teams

Mentored engineers

DevOps practices

Security and governance

Tools

AWS EC2

AWS EMR

AWS Glue

AWS S3

Terraform

CloudFormation

Docker

Kubernetes

LLM

Job description

Job Role: Senior AWS Cloud Generative AI Engineer

Location: Minneapolis, MN (Onsite)

Mode of Hiring: Full-Time

Mandatory Skills: AWS EC2, AWS EMR, AWS Glue, AWS S3 & AI/Generative AI,

Job Summary

Seeking a Senior AWS Cloud Generative AI Engineer Consultant with 7 to 11 years of experience to design develop and manage scalable secure cloud native solutions and AI powered applications on AWS

Job Description

Design deploy and manage cloud native solutions using a broad range of AWS services including EC2 S3 VPC Lambda ECSEKS RDS CloudWatch EMR and Glue Develop and optimize infrastructure leveraging AWS Compute Storage Networking IAM and Security services Build and integrate Generative AI applications using LLMs RAG architectures prompt engineering and AI orchestration frameworks Implement CICD pipelines and Infrastructure as Code using Terraform and CloudFormation Use containerization and orchestration tools such as Docker and Kubernetes Collaborate with data engineering and analytics teams to build AIready cloud platforms Ensure cloud governance security scalability and cost optimization best practices Stay current with AIML and cloud security governance frameworks to drive innovation and compliance Provide technical leadership bridging cloud engineering and AI innovation to deliver next generation enterprise solutions

Roles and Responsibilities

• Architect scalable secure and resilient cloud solutions on AWS tailored to enterprise needs
• Develop and maintain AI powered applications leveraging Generative AI technologies and frameworks such as Lang Chain and Llama Index
• Lead the implementation of DevOps best practices including CICD Infrastructure as Code and automated cloud deployments
• Manage AWS services including EC2 EMR Glue S3 and others to support data processing and AI workloads
• Collaborate with stakeholders to identify and prioritize AI driven business transformation opportunities
• Mentor and guide junior engineers on cloud and AI initiatives
• Optimize cloud infrastructure for performance security and cost efficiency
• Ensure compliance with cloud security standards and AI governance policies