Architect (AWS BEDROCK, SAGEMAKER, AIML) At Reading, PA

Job Title: AWS Architect / AI Architect
Location: Reading, PA – Onsite
Contract

Job Summary:

We are looking for an experienced AWS Architect or AI Architect with strong hands-on experience in SageMaker Unified Studio (SMUS), implementing SageMaker and Bedrock MCP Servers in production, and Terraform. The ideal candidate will design and deploy scalable AI/ML solutions on AWS, including model training, deployment, agent workflows, and infrastructure automation.

Key Responsibilities:

Design and implement AI/ML solutions using AWS SageMaker Unified Studio (SMUS).
Implement and deploy SageMaker and Amazon Bedrock MCP Servers in production environments.
Build and manage AWS infrastructure using Terraform and Infrastructure as Code (IaC).
Develop SageMaker workflows covering training jobs, processing jobs, pipelines, Feature Store, and Model Registry.
Deploy ML models using endpoints and implement AI agent workflows, knowledge bases, and guardrails.
Work with foundation models, prompt engineering, and Amazon Bedrock services.
Ensure scalability, security, reliability, and operational readiness of AI solutions.
Required Skills:

Strong hands-on experience with SageMaker Unified Studio (SMUS).
Proven experience implementing SageMaker and Bedrock MCP Servers in production.
Strong expertise in Terraform and AWS infrastructure automation.
Experience with SageMaker model training, pipelines, endpoints, Feature Store, and Model Registry.
Knowledge of Amazon Bedrock, foundation models, AI agents, knowledge bases, and guardrails.
Preferred Qualifications:

AWS Certified Machine Learning Engineer – Associate or relevant AWS AI/ML certification.
AWS Certified AI Practitioner or other relevant AWS certifications.
Experience deploying and operating production-grade AI/ML solutions.

m: (+1) 732-592-3874