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Java Architect W/AI EXP

key business solutions INc

  • Reston, VA
  • 9 days ago
  • $60–$70 Per Hour
  • Contractor
  • Full-time
  • Employee

Highlights

Lead end‑to‑end application architecture across Java, Angular, microservices, cloud, and AI‑enabled components. Reston, VA / Plano, TX (Hybrid:2-3 days/Week).

Numbers & Facts

LocationReston, VA
Job TypeContractor, Full-time, Employee
Salary$60–$70 Per Hour

Description

Java Architect W/AI EXP
Reston, VA / Plano, TX (Hybrid:2-3 days/Week)
12 Months

 

Lead end‑to‑end application architecture across Java, Angular, microservices, cloud, and AI‑enabled components. 

 

 

Job Responsibilities

Core Responsibilities:

 

Lead end‑to‑end application architecture across Java, Angular, microservices, cloud, and AI‑enabled components. 

Define scalable solution designs integrating automation agents, AI workflows, and enterprise systems. 

Drive adoption of AI‑powered development, including code generation, test automation, and intelligent agents. 

Oversee API strategy, versioning, security, and integration with front‑end and backend systems. 

Provide technical leadership, mentoring, and architectural governance across teams.

Qualifications

Required Technical Skills:

 

Java Development — Java 8/11+, OOP, collections, multithreading, exception handling. 

Spring Boot — Microservices, REST APIs, dependency injection, JPA, caching, security. 

Angular — Angular 12+, components, services, RxJS, routing, forms, NgRx. 

RESTful Architecture — API design, versioning, error handling, front‑end integration. 

SQL & Database Architecture — Queries, stored procedures, relational modeling (Oracle, PostgreSQL, MySQL). 

UI/UX Governance — Responsive design, reusable components, accessibility standards. 

CI/CD & DevOps — Maven/Gradle, Jenkins/GitHub Actions, automated deployments. 

Cloud Architecture — AWS/Azure (EC2, S3, Lambda, API Gateway). 

 

AI & Agent Architecture Skills:

 

AI Integration — Designing AI‑enabled workflows, integrating LLMs, and building intelligent automation. 

Agent‑Based Architecture — Event‑driven agents, orchestration, triggers, autonomous workflows. 

AI‑Driven Automation — Using AI for test generation, code review, defect prediction, and data generation. 

ML/AI Platforms — Experience with Azure OpenAI, AWS Bedrock, or similar platforms. 

Prompt Engineering — Designing prompts for agent workflows and automation tasks.

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