What are the responsibilities and job description for the AWS Architect position at Sincera Technologies, Inc.?
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 AgentCore: 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.
Salary.com Estimation for AWS Architect in Reading, PA
$98,637 to $122,912
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