AWS Architect

Role : AWS Architect

Location : Reading, PA (hybrid)

Job Type : Contract

Rate/ Salary : $70/hr - $80/Hr

Any of these certifications is needed, along with Terraform and SageMaker.

1. AWS Certified Machine Learning Engineer - Associate

2. AWS Certified AI Practitioner

3. AWS Certified Machine Learning - Specialty (MLS-C01)

Job Description:

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.