AWS AI Architect

Job Title:
AWS Devops SME/ solution Architect

Job Location: Charlotte, NC 28217 ( Onsite role (5 Days) )

Job Type: Contract

Based on our discussion, please explore strong resumes on priority. Consider below in your search

• Design, build, automate, and manage AWS infrastructure using Terraform/Cloud Formation.
• Implement and maintain CI/CD pipelines (Git Hub Actions, Git Lab CI, Jenkins, AWS Code Pipeline).
• Manage compute platforms including EKS, ECS, EC2, Lambda
  , and containerized workloads.
• Configure AWS networking components such as VPC, Transit Gateway, ALB/NLB, Route 53, VPN, NAT gateway, NACLs, SGs .
• Implement monitoring & observability using Cloud Watch, Prometheus/Grafana, Datadog, ELK or similar.
• Optimize cloud infrastructure for scalability, cost, reliability, and security
  .

• Deploy, manage, and optimize AI/ML pipelines (Sage Maker, ECS/EKS-based inference, custom ML workflows).
• Work with data science teams to operationalize models —
  ML Ops (model packaging, deployment, monitoring).
• Support deployment of GenAI applications using:
• AWS Bedrock
• Sage Maker Jump Start
• OpenAI/Anthropic connectors
• Vector databases (Pinecone, Open Search, Chroma, Dynamo
  
  DB + embeddings)
• Build secure infrastructure for LLM-based apps
  , including:
• GPU/accelerator nodes
• Inference endpoints

• Implement cloud security best practices including IAM, KMS, secrets management, least privilege, Zero Trust
  .
• Ensure AI workloads comply with data privacy, PII controls, and governance policies
  .
• Manage backup, DR, patching, and vulnerability remediation for all infrastructure components.

• Develop automation using Python, Bash, or Power Shell
  .
• Build reusable modules/libraries for model deployment and infrastructure workflows.