AWS Data & AI Platform Engineer

VDart, Inc.
Charlotte, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Charlotte, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Audit Trail
Continuous Integration
Data as a Services
Data Security
Distributed Systems
Amazon DynamoDB
Identity and Access Management
Python
Network Security
Systems Integration
Data Logging
AWS Lambda
Amazon Web Services (AWS)
Cloudformation
Event Driven Architecture
AI Platforms
Kubernetes
Information Technology
Machine Learning Operations
Api Gateway
Terraform
Automation Anywhere
Serverless Computing

Job description

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

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. 3 days per week in client office.
  • 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

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