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AI / Java Architect

Hexaware Technologies, IncAtlanta, GA🇺🇸United StatesPosted Sep 21, 2026

Why This Role Stands Out

This hybrid role offers an exciting opportunity to leverage your expertise in Java, Python, and Generative AI to architect and build innovative cloud-native solutions, fostering significant career growth and skill development within a reputable company. If you are a mid-senior level professional with a passion for full-cycle software development and a knack for problem-solving, you'll thrive in this dynamic environment. Embrace the chance to shape cutting-edge technology and make a real impact – apply today!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Atlanta, GA, United States
Posted
1 week ago
MicroservicesSpringSpring BootAWSETLAgileGenerative AIJavaPythonRESTRedshift

Job Description

We are looking for a highly skilled Developer III / Solution Engineer with expertise in Java, Python, AWS, Data Engineering, and Generative AI. The ideal candidate will own the complete SDLC, including requirements analysis, solution design, development, testing, and deployment of cloud-native applications.

Required Skills

  • Java, Spring Boot, Microservices
  • Python (APIs, Data Processing, AI/ML Integration)
  • AWS Cloud Services:
    • Amazon Redshift
    • Amazon RDS
    • AWS Glue
    • AWS DMS
    • Amazon ECS
    • AWS Bedrock
  • Solution Architecture & System Design
  • Data Engineering & ETL Pipelines
  • Generative AI, LLMs, RAG, Prompt Engineering
  • REST APIs
  • Testing & Quality Engineering
  • CI/CD and Agile Development

Key Responsibilities

  • Gather and analyze business requirements and translate them into scalable technical solutions.
  • Design and develop cloud-native applications using Java, Python, and AWS.
  • Build and optimize data pipelines using Redshift, RDS, Glue, and DMS.
  • Develop containerized and event-driven applications using ECS.
  • Implement GenAI solutions using AWS Bedrock, LLMs, RAG architectures, and agentic workflows.
  • Create and maintain automated testing frameworks, including unit, integration, regression, and end-to-end testing.
  • Collaborate with cross-functional teams to deliver high-quality software solutions.
  • Support application deployment, troubleshooting, and ongoing enhancements.

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