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AWS Architect (with AWS Bedrock) || Atlanta, GA (100% Onsite) || Contract

AWS Architect (with AWS Bedrock) || Atlanta, GA (100% Onsite) || Contract

AcestackAtlanta, GA, United States
16 hours ago
Job type
  • Full-time
  • Quick Apply
Job description

Only VISA Independent Candidates USC / GC only

Role : AWS Architect (with AWS Bedrock)

Location : Atlanta, GA (100% Onsite)

Employment Type : Contract

Job Summary

We are seeking a highly experienced AWS Architect with strong expertise in AWS Cloud Architecture, Terraform, DevOps automation, Python development , and hands-on implementation of Generative AI solutions using AWS Bedrock . This role requires deep proficiency in designing scalable, secure, and resilient cloud architectures while leveraging Bedrock to build and deploy AI-driven applications.

Key Responsibilities

  • Design and architect enterprise-grade solutions on AWS aligned to best practices (Well-Architected Framework).
  • Develop and manage Infrastructure as Code using Terraform for scalable provisioning.
  • Implement DevOps pipelines , CI / CD workflows, monitoring, logging, and operational automation.
  • Build and deploy Generative AI / LLM solutions using AWS Bedrock , including model selection, fine-tuning, and prompt optimization.
  • Integrate Python-based services , microservices, APIs, and automation into cloud architecture.
  • Ensure strong cloud security , identity management, compliance, and resilience.
  • Collaborate with cross-functional teams (cloud engineering, AI / ML, product) to deliver integrated solutions.

Required Skills & Experience

  • Overall IT Experience : 10+ Years
  • 3-5+ years of experience in cloud engineering / architecture.
  • 5+ years hands-on experience in AWS Architecture , including VPC, IAM, EC2, EKS / Lambda, S3, CloudWatch, Route 53, RDS / DynamoDB.
  • Strong experience with Terraform for IaC (Infrastructure as Code).
  • Solid understanding of DevOps CI / CD tooling (GitLab, GitHub Actions, Jenkins, CodePipeline, etc.).
  • Proficient with Python for automation, services, and AI workflows.
  • Mandatory : Hands-on experience with AWS Bedrock (model orchestration, RAG pipelines, LLM workflows).
  • Familiarity with vector databases, embeddings, model evaluation, and prompt engineering.

    • Nice to Have

  • Experience with SageMaker , LlamaIndex, LangChain, or MLflow.
  • Knowledge of enterprise security architecture and disaster recovery planning.
  • Experience deploying AI copilots, chatbots, or generative search systems .
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