Java Solutions Architect - AI/ML

Menzo Technologies Corp
McLean, VA, United States
3 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Continuous Integration DevOps Distributed Systems Java Platform Enterprise Edition (J2EE) Python (Programming Language) Machine Learning OpenAI
+14 more
Tensorflow LangChain Retrieval-Augmented Generation Large Language Models Spring-boot Generative AI Event Driven Architecture AngularJS Kubernetes Apache Kafka Machine Learning Operations Restful APIs Docker Microservices

Requirements

· Java / J2EE, Spring Boot

· Enterprise Solution Architecture & System Design

· Microservices Architecture

· Angular

· REST APIs & Event-Driven Architecture

· Apache Kafka & Distributed Systems

· AI/ML Integration & Generative AI

· LLMs, RAG, LangChain & Vector Databases

· AWS Cloud Architecture (Mandatory)

· Docker, Kubernetes, CI/CD & DevOps

Preferred:

· Python & AI/ML Frameworks

· OpenAI / Azure OpenAI

· NLP, Predictive Analytics & Machine Learning Models

· AI-Driven Enterprise Solutions

· Cloud or Solution Architecture Certifications, Candidates must have strong hands-on experience in Java/J2EE, Spring Boot, Microservices, and enterprise-level solution architecture, along with expertise in AWS cloud architecture. Experience integrating AI/ML and Generative AI capabilities, working with LLMs, RAG, LangChain, and Vector Databases is highly important. The ideal candidate should have strong technical leadership skills and the ability to drive end-to-end architecture and implementation.

About the company

Menzo Technologies Corp. has an urgent opening with our direct client for an experienced Java Solutions Architect - AI/ML in McLean, VA.

We are looking for highly experienced candidates with strong expertise in Java, Spring Boot, Microservices, and enterprise solution architecture, along with hands-on experience in AI/ML, Generative AI, and AWS cloud technologies.

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