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Java Solution AI Architect

K-Tek Resourcing LLC
New York, NY, United States
10 days ago
Apply on www.dice.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Code Review Databases Relational Databases DevOps Fault Tolerance Github Hibernate (Java)
+25 more
Java Persistence API PostgreSQL Machine Learning MongoDB MySQL NoSQL Oracle (Applications) Redis Systems Integration Google Cloud Enterprise Software Applications Spring Cloud Spring-boot Caching Generative AI Infrastructure as Code (IaC) Containerization Kubernetes Apache Kafka Machine Learning Operations Restful APIs Terraform Docker Jenkins Microservices

Job description

We are seeking an experienced Java AI Solution Architect with strong expertise in enterprise application architecture and hands-on experience integrating Artificial Intelligence (AI), Generative AI (GenAI), and Machine Learning (ML) solutions. In this role, you will design scalable, secure, and high-performing enterprise applications while driving AI-enabled digital transformation initiatives across the organization., * Architectural Design: Design and architect enterprise-grade, microservices-based applications using Core Java, Spring Boot, and cloud-native technologies.

  • AI/ML Integration: Embed AI/ML and Generative AI capabilities into core enterprise software architectures to power intelligent business automation and decision-making.
  • Technical Leadership: Define solution architectures, technical roadmaps, and implementation strategies; lead technical design reviews, code reviews, and architecture governance.
  • Cross-Functional Collaboration: Partner closely with business stakeholders, product owners, and engineering teams to translate complex business requirements into robust technical solutions.
  • Security & Scalability: Guarantee high performance, fault tolerance, reliability, and security across all deployed cloud and microservices environments.
  • Innovation & Mentorship: Continuous evaluation of emerging AI tools, frameworks, and techniques to drive innovation while mentoring engineering teams throughout the SDLC lifecycle.

Requirements

< class=”” data-path-to-node=”15”>1. Core Java & Architecture

  • Java: Java 8, 11, 17+
  • Frameworks: Spring Boot, Spring Cloud, Hibernate / JPA
  • APIs & Messaging: RESTful APIs, Microservices Architecture, Apache Kafka (or equivalent messaging systems)

< class=”” data-path-to-node=”17”>2. Cloud & DevOps

  • Cloud Platforms: AWS, Azure, or Google Cloud Platform (Google Cloud Platform)
  • Containerization & Orchestration: Docker, Kubernetes
  • CI/CD Pipelines: Jenkins, GitHub Actions
  • Infrastructure as Code (IaC): Terraform (preferred)

< class=”” data-path-to-node=”19”>3. Database Technologies

  • Relational Databases: Oracle, PostgreSQL, MySQL
  • NoSQL & Caching: MongoDB, Redis

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Apply on www.dice.com
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