Java Architect

HEXAWARE • United States,

8h

About The Position

We are seeking a highly skilled and innovative Java Architect to lead the design and implementation of AI-augmented Software Development Life Cycle (SDLC) pipelines. This role involves architecting and implementing end-to-end AI-augmented SDLC pipelines using autonomous agents and sub-agents. These agents will manage tasks from requirements analysis, code generation, review, testing, and deployment. You will also be responsible for designing, configuring, and extending GitHub Copilot agents, custom skills, and agent instructions to automate repetitive engineering tasks, enforce coding standards, and accelerate developer productivity across teams. Building and managing multi-agent systems with clearly defined agent roles, skills, and handoff protocols, including planner agents, coder agents, reviewer agents, and test agents, will be crucial to ensure reliable and deterministic outcomes. Furthermore, you will integrate AI agents with static analysis, linting, and security scanning tools (e.g., SonarQube, CodeRabbit) to enforce quality gates, detect vulnerabilities, and provide real-time feedback within CI/CD pipelines. Leveraging AI agents to auto-generate unit tests, integration tests, BDD scenarios (Gherkin/Cucumber), and test data will be key to continuously improving test coverage with minimal manual effort. Finally, you will design reusable, parameterized prompts and agent skills.

Requirements

• Strong Java architecture and development experience.
• Experience with AI-augmented SDLC pipelines.
• Proficiency in designing and implementing autonomous agents and sub-agents.
• Experience with GitHub Copilot agent engineering, custom skills, and agent instructions.
• Expertise in building and managing multi-agent systems.
• Knowledge of agent roles, skills, and handoff protocols (planner, coder, reviewer, test agents).
• Experience integrating AI agents with static analysis, linting, and security scanning tools (e.g., SonarQube, CodeRabbit).
• Familiarity with CI/CD pipelines.
• Experience with AI-driven automated testing, including unit tests, integration tests, and BDD scenarios (Gherkin/Cucumber).
• Proficiency in prompt engineering and developing agent skills.

Responsibilities

• Architect and implement end-to-end AI-augmented SDLC pipelines using autonomous agents and sub-agents that handle tasks spanning requirements analysis, code generation, review, testing, and deployment.
• Design, configure, and extend GitHub Copilot agents, custom skills, and agent instructions to automate repetitive engineering tasks, enforce coding standards, and accelerate developer productivity across teams.
• Build and manage multi-agent systems with clearly defined agent roles, skills, and handoff protocols — including planner agents, coder agents, reviewer agents, and test agents — ensuring reliable and deterministic outcomes.
• Integrate AI agents with static analysis, linting, and security scanning tools (e.g., SonarQube, CodeRabbit) to enforce quality gates, detect vulnerabilities, and provide real-time feedback within CI/CD pipelines.
• Leverage AI agents to auto-generate unit tests, integration tests, BDD scenarios (Gherkin/Cucumber), and test data — continuously improving test coverage with minimal manual effort.
• Design reusable, parameterised prompts and agent skills.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed