Demo

AWS Architect

AllianceIT Inc
Reading, PA Contractor
POSTED ON 10/27/2026
AVAILABLE BEFORE 11/25/2026
  • Python (3.11 ): Hands-on experience building robust applications and agentic logic.
  • Amazon SageMaker Unified Studio (SMUS) & MLOps: Hands-on experience with SMUS to manage the end-to-end ML lifecycle. This includes automating model training, registering models in the centralized registry, and configuring real-time/asynchronous inference endpoints within the SMUS ecosystem.
  • Infrastructure as Code (IaC):Production-level expertise using Terraform to provision AWS services, including Bedrock Agents, Knowledge Bases, DynamoDB, Lambda, etc.
  • CI/CD & DevOps: Proven track record in building and maintaining automated deployment pipelines for cloud-native applications and MLOps workflows.
  • AWS Security & Identity: Deep experience with IAM for fine-grained permissions and secure service communication.
  • AWS Bedrock AgentCore : Familiarity with the latest ecosystem, specifically the Agent Runtime, Memory, Identity, and Tool Gateway layers.
  • Multi-Agent Orchestration: Experience building or enabling collaborative systems using frameworks like LangGraph, strands, etc.
  • Model Context Protocol (MCP): Strong understanding of MCP and modern tool/API integration patterns for AI agents.
  • AWS Certification (Optional): Holding one or more AWS Professional-level certifications—specifically the AWS Certified AI Practitioner or AWS Certified Machine Learning – Specialty—is highly preferred and considered a strong plus.
  • Continuous Learning: Willingness to learn emerging AI technologies, frameworks, and evolving cloud services.


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