Java Architect

SFE; Arizona; On-site; USD 120,000 - 170,000; Full time

Job summary

SFE is seeking a Java Architect with AI to lead architecture for enterprise-scale systems in Phoenix, onsite. The position requires strong Java skills, AI integration capabilities, and experience with distributed architectures.

The candidate will work with AWS/Azure/GCP, CI/CD pipelines, and modern DevOps practices to deliver scalable solutions, including GenAI components, while ensuring security and governance. Onsite in Phoenix, contract role.

Qualifications

• Architect with proven enterprise system design and scale.
• Strong AI experience and hands-on AI integration.
• Expert Java 8/11/17/21+ with Spring Boot / Spring Cloud.
• Experience with REST APIs and microservices.
• Design patterns, SOLID, DDD and clean architecture.
• Databases: PostgreSQL, Oracle, MySQL, MongoDB.
• Messaging: Kafka, RabbitMQ, or AWS messaging.
• Cloud: AWS, Azure, or GCP.
• Generative AI/LLMs integration in enterprise apps.
• Knowledge of OpenAI, Azure OpenAI, Bedrock, Vertex AI.
• RAG, embeddings, vector DBs, prompt engineering.
• AI security, data privacy, governance.
• CI/CD, Docker, Kubernetes and modern DevOps.

Skills

Architect exp

AI experience

Java expertise

Spring Boot

Spring Cloud

REST APIs

Microservices

Design patterns

SOLID principles

DDD / clean architecture

Database: PostgreSQL

Database: MongoDB

Kafka / RabbitMQ

Cloud: AWS/Azure/GCP

Gen AI / LLMs

RAG / embeddings

Prompt engineering

AI security / governance

CI/CD / Docker / Kubernetes

Tools

Docker

Kubernetes

OpenAI API

Job description

Hi,

Please find below the job description for the Java Architect with AI position.

Job Title: Java Architect with AI

Location: Phoenix, AZ (Onsite)

Employment Type: [Contract]

Face to Face interview

Required Skills

• Architect experience is must
• Need strong experience in AI side
• Strong expertise in Java 8/11/17/21+, Spring Boot, Spring Cloud, REST APIs, and microservices.
• Experience designing distributed and highly scalable enterprise systems.
• Strong understanding of design patterns, SOLID principles, domain-driven design, and clean architecture.
• Hands-on experience with databases such as PostgreSQL, Oracle, MySQL, MongoDB, or similar.
• Experience with messaging/event platforms such as Kafka, RabbitMQ, or AWS messaging services.
• Strong cloud experience with AWS, Azure, or GCP.
• Practical experience integrating Generative AI/LLMs into enterprise applications.
• Knowledge of OpenAI, Azure OpenAI, Amazon Bedrock, Google Vertex AI, or comparable AI platforms.
• Experience with RAG, embeddings, vector databases, prompt engineering, and AI orchestration frameworks.
• Understanding of AI security, responsible AI, data privacy, and governance.
• Experience with CI/CD, Docker, Kubernetes, and modern DevOps practices.

We are an equal opportunity employer with a diverse workforce.