Data - AI Platform Engineer (AWS)

GAC Solutions; Charlotte (NC); On-site; USD 130,000 - 180,000; Full time

Job summary

GAC Solutions is seeking an experienced cloud/AI engineer to design, build, and operate secure AWS-based AI platforms for enterprise-grade and regulated environments. You will work with Bedrock, EKS, Lambda, and API Gateway to implement scalable, resilient services and serverless workflows.

Responsibilities include securing networking, IAM controls, data services like S3 and DynamoDB, and enabling RAG architectures.

Qualifications

• Minimum 5+ years of experience building cloud platforms on AWS.
• Minimum 2+ years of hands-on experience with Amazon Bedrock, EKS/Kubernetes, AWS Lambda, and core AWS networking services.
• Minimum 8+ years of experience with Python development supporting APIs, AI services, or automation workflows.
• Minimum 5+ years of experience designing secure, highly available, and scalable distributed systems.
• Minimum 5+ years of experience working in regulated environments such as financial services, banking, or insurance.

Responsibilities

• Design, build, and operate secure, scalable AI platforms on AWS for enterprise and regulated environments.
• Develop and manage generative AI solutions using Amazon Bedrock for model integration and deployment.
• Build and operate containerized AI services on Amazon EKS supporting Python-based inference and orchestration workloads.
• Develop serverless AI workflows using AWS Lambda, API Gateway, and event-driven architectures.
• Implement secure networking and access controls using VPC, IAM, and private endpoints.
• Integrate data services such as S3, DynamoDB, and messaging/streaming platforms to enable AI pipelines and RAG architectures.
• Establish CI/CD, monitoring, logging, and operational controls aligned to enterprise and regulatory standards.
• Collaborate with security, architecture, and risk teams to ensure compliance with financial services requirements.

Skills

Python development

AWS cloud platforms

Kubernetes / EKS

AWS Lambda

AWS networking

Distributed systems design

Regulated environments (financial)

Job description

• Design, build, and operate secure, scalable AI platforms on AWS for enterprise and regulated environments
• Develop and manage generative AI solutions using Amazon Bedrock for model integration and deployment
• Build and operate containerized AI services on Amazon EKS supporting Python-based inference and orchestration workloads
• Develop serverless AI workflows using AWS Lambda, API Gateway, and event-driven architectures
• Implement secure networking and access controls using VPC, IAM, and private endpoints
• Integrate data services such as S3, DynamoDB, and messaging/streaming platforms to enable AI pipelines and RAG architectures
• Establish CI/CD, monitoring, logging, and operational controls aligned to enterprise and regulatory standards
• Collaborate with security, architecture, and risk teams to ensure compliance with financial services requirements

Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)

• Minimum 5+ years of experience building cloud platforms on AWS
• Minimum 2+ years of experience hands-on experience with Amazon Bedrock, EKS/Kubernetes, AWS Lambda, and core AWS networking services
• Minimum 8+ years of experience with Python development experience supporting APIs, AI services, or automation workflows
• Minimum 5+ years of experience designing secure, highly available, and scalable distributed systems
• Minimum 5+ years of experience working in regulated environments such as financial services, banking, or insurance