Artificial Intelligence Engineer - Local to Charlotte, NC

NLB Services; Charlotte (NC); Hybrid; USD 100,000 - 130,000; Full time

Job summary

NLB Services is looking for a skilled professional with extensive experience building cloud platforms on AWS. The ideal candidate should have minimum 5+ years in cloud technologies, particularly in Amazon Bedrock, EKS, AWS Lambda, and Python, and must demonstrate capabilities in working within regulated environments such as financial services and insurance.

The role involves minimal travel to client offices and focuses on designing secure and scalable distributed systems. Candidates with knowledge of data security, model governance, and experience in AI platforms will be preferred.

Qualifications

• 5+ years building cloud platforms on AWS.
• 2+ years hands-on with Amazon Bedrock and AWS services.
• 8+ years Python development for APIs and automation.
• Experience in regulated environments like banking.

Responsibilities

• Support client stakeholders in regulated environments.
• Design and implement secure, scalable systems.

Skills

Cloud platforms on AWS

Amazon Bedrock

EKS/Kubernetes

AWS Lambda

Python development

API support

AI services

Automation workflows

Tools

Terraform

CloudFormation

CDK

Job description

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. 3 days per week in client office.

Degree:

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