AWS Architect

Role: AWS Architect

Location: Reading PA or close enough to travel there on a regular basis. (Hybrid).

Client: Sincera

Job Type: Contract

Required Qualifications

Python (3.11): Hands-on experience developing robust scalable applications and implementing agentic logic using Python.

Amazon SageMaker Unified Studio (SMUS) & MLOps: Hands-on experience with SMUS for managing the end-to-end machine learning lifecycle including automated model training model registration in centralized model registries and configuration of real-time and asynchronous inference endpoints.

Infrastructure as Code (IaC): Production-level expertise with Terraform for provisioning and managing AWS services including Amazon Bedrock Agents Knowledge Bases DynamoDB Lambda and related cloud infrastructure.

CI/CD & DevOps: Proven experience designing implementing and maintaining automated CI/CD pipelines for cloud-native applications and MLOps workflows.

AWS Security & Identity: Strong experience with AWS IAM including fine-grained permissions access controls and secure service-to-service communication.

AWS Bedrock Agent Core: Familiarity with the AWS Bedrock AgentCore ecosystem including Agent Runtime Memory Identity and Tool Gateway capabilities.

Multi-Agent Orchestration: Experience building or enabling collaborative multi-agent systems using frameworks such as LangGraph Strands or similar agent orchestration frameworks.

Model Context Protocol (MCP): Strong understanding of MCP and modern tool/API integration patterns for AI agents and agentic applications.

AWS Certification: AWS Professional-level certifications are preferred. AWS Certified AI Practitioner or AWS Certified Machine Learning - Specialty certification is highly desirable and considered a strong plus.

Continuous Learning: Demonstrated willingness and ability to learn and adopt emerging AI technologies agentic frameworks AWS services and cloud-native development practices.

Required Skills:

AWSPython