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AI Architect with AWS Bedrock @ Reading, PA (Onsite)

Kaizen TechnologiesSinking Spring, PA🇺🇸United StatesPosted 12 Aug 2026

Why This Role Stands Out

This role offers a significant opportunity to shape enterprise-scale AI solutions using cutting-edge AWS Bedrock technology, providing immense growth potential for experienced AI Architects. You will thrive if you possess deep expertise in AI/ML platforms, cloud infrastructure, and a passion for building advanced agentic workflows. Apply now to lead impactful AI innovation within a reputable company.

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Title: AI Architect with AWS Bedrock

Location: Reading, Pennsylvania (Onsite)

Primary Skill: AWS Bedrock, AI Agents, AI/LLM, Architect End-to-end AI/ML platforms, Cloud infrastructure, RAG

Overall Experience: 15+ years

 

Job Description:

Role Overview:

  • We are seeking an experienced AI Architect to design, build, and deploy enterprise-scale AI and LLM solutions.
  • This role requires a hands-on technical leader who can architect end-to-end AI/ML platforms, develop production-grade applications, and implement advanced agentic workflows using AWS Agent Core.
  • The ideal candidate will combine deep expertise in AI engineering, cloud infrastructure, and software development with the ability to mentor teams and establish best practices for scalable AI delivery.

Key Responsibilities

  • Design and implement end-to-end AI/ML architectures and develop production-ready solutions using modern AI frameworks and cloud-native technologies.
  • Architect, provision, and manage secure, scalable, and resilient AI infrastructure on AWS using Terraform and Infrastructure as Code principles.
  • Build, optimize, and deploy advanced multi-agent systems and orchestration frameworks leveraging AWS Agent Core, Amazon Bedrock Agents, and Knowledge Bases.
  • Develop and maintain robust data, model, and inference pipelines that integrate LLMs, vector databases, and enterprise applications.
  • Implement Retrieval-Augmented Generation (RAG) solutions and optimize prompt engineering strategies for enterprise AI use cases.
  • Establish and drive best practices across AI Engineering, MLOps, and LLMOps to ensure scalable, reliable, and governed AI deployments.
  • Provide technical leadership, mentor engineering teams, and collaborate with business and technology stakeholders to deliver AI initiatives successfully.

Required Skills & Qualifications

  • Strong experience designing and deploying AI/ML and Generative AI solutions from proof of concept through production implementation.

Skills

AWS
MLOps
Generative AI
LLM
Terraform

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