Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Reading, PA, United States
Posted
21 hours ago
DynamoDBAWSMLOpsMachine LearningPythonTerraform
Job Description
Role: Senior AWS AgentCore Platform Engineer
Location: Reading PA (Hybrid 2-3 days a week)
Note: AgentCore experience is must.
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.
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