Hybrid Role – Charlotte, NC | AI Platform Engineer with Strong AWS

Tech Mirrors; Charlotte (NC); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Tech Mirrors is seeking an AWS Data & AI Platform Engineer to design, build, and operate secure AI platforms on AWS for enterprise and regulated environments.

You will develop generative AI solutions with Bedrock, containerized services on EKS, and serverless workflows using Lambda, API Gateway, and event-driven architectures. This role demands strong Python, distributed systems, and regulatory-compliance experience in financial services.

Qualifications

• 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.

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

Cloud platform design

Security for regulated environments

Education

Bachelor's degree in Computer Science, Engineering, or equivalent

Tools

Amazon Bedrock

EKS/Kubernetes

AWS Lambda

API Gateway

VPC & IAM networking

Terraform / CloudFormation / CDK

Job description

Hybrid Role –Charlotte, NC

Role: AWS Data & AI Platform Engineer

Location: Hybrid in Charlotte, NC,3 days per week in client office.

Duration: 6+ months

Job Description – AI Platform Engineer (AWS – Financial Services)

Day to Day job Duties: (what this person will do on a daily/weekly basis)

• 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

Travel:

Minimal travel required; ability to support client stakeholders in regulated environments as needed.

Degree:

Bachelor’s degree in Computer Science, Engineering, or equivalent work experience

Nice to Have; (But not a must)

• Experience supporting AI/ML or generative AI platforms in production
• Knowledge of data security, model governance, auditability, and access controls
• Experience with Infrastructure as Code (Terraform, CloudFormation, or CDK)
• Exposure to CI/CD pipelines and production operations in enterprise environments.