Why this role stands out
This hybrid role offers a fantastic opportunity to lead innovative application architecture, integrating cutting-edge AI technologies with Java and cloud solutions, perfect for experienced architects looking to shape the future of development. You'll thrive in this position if you enjoy driving technical strategy, mentoring teams, and leveraging your expertise in AI-driven development to make a significant impact. Apply today to explore this exciting chance for professional growth and influence.
Quick overview
Job description
Java Architect W/AI EXP///Immediate interview
Remote(some Travel Required)
12 Months
Core Responsibilities:
Lead endtoend application architecture across Java, Angular, microservices, cloud, and AIenabled components.
Define scalable solution designs integrating automation agents, AI workflows, and enterprise systems.
Drive adoption of AIpowered development, including code generation, test automation, and intelligent agents.
Oversee API strategy, versioning, security, and integration with frontend and backend systems.
Provide technical leadership, mentoring, and architectural governance across teams.
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, frontend 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 AIenabled workflows, integrating LLMs, and building intelligent automation.
AgentBased Architecture — Eventdriven agents, orchestration, triggers, autonomous workflows.
AIDriven 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.
Regards,
Satya
SR.Technical Recruiter
Key Business Solutions, Inc
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