Job Summary- Solution Architect - Full Stack (Java Stack) Employment type: Full-time

Location: Chennai

Experience level: Staff/Principal: 10 - 15 years

Summary Owns the architecture of an AI-led test-knowledge platform end-to-end and directs its AI-accelerated build on a Java/Spring Boot backend with an Angular frontend. Makes the architecture and scope calls, directs an AI coding assistant to generate against a governed specification, and personally reviews every generated component for correctness, security, and domain fit before it ships. Also owns the API contract between this core platform and the separate Python/Node service that runs the conversational Assistant's agent orchestration.

Key Responsibilities

- Own and evolve the platform's technical specification; make final architecture, scope, and sequencing decisions
- Direct AI-based code generation against the specification - writing accurate generation prompts/specs, not hand-writing the bulk of the code
- Review 100% of AI-generated code before merge: correctness, security, JPA/entity design, RBAC boundaries, and data-governance rules
- Design and own the REST/gRPC contract between the Java core and the separate Assistant service, including auth handoff and error handling across that boundary
- Own the data model across the knowledge repository, generation pipeline, and serving layer, including schema evolution
- Set up and enforce Java build/quality standards (Maven or Gradle, SonarQube/Checkstyle gates) for AI-generated code specifically - generated code needs the same static-analysis discipline as hand-written code, arguably more




- Partner with domain subject-matter owners to ensure generated screens and workflows genuinely reflect domain requirements
- Set and monitor engineering-side success metrics (build velocity, defect escape rate, JVM performance under load)

Skill RequirementsRequired Qualifications

- 8+ years in software architecture or senior full-stack engineering, with demonstrated ownership of a platform end-to-end
- Proven ability to direct and critically review AI-generated code - a distinct, assessable skill
- Strong background in Java + Spring Boot (Spring Security, Spring Data JPA, Spring MVC), Angular + TypeScript, and PostgreSQL (including pgvector or similar)
- Comfortable with Maven or Gradle, JUnit 5 + Mockito + Testcontainers for integration testing
- Working knowledge of JVM tuning - heap/GC sizing, container memory limits, startup/warm-up behavior under containerized deployment
- Experience designing and consuming service boundaries (REST/gRPC) between systems in different languages/runtimes - this role does not need to write the Assistant's agent code, but must own the contract it talks through
- Experience with RBAC, governance workflows, and versioned data models in an enterprise setting
- Track record of technical decision-making under a governed, spec-first development process

Other RequirementsPreferred

- Familiarity with Spring AI or LangChain4j (useful context even though the Assistant itself lives outside this stack)
- Prior QE/testing-domain exposure
- Experience in a regulated-industry context (healthcare, financial services)

Success Metrics

- Spec-to-shipped-feature cycle time
- Defect/regression rate in AI-generated code post-review
- Cross-service contract stability (breaking changes to the Assistant API boundary, post-release)

📌 Senior Technical Architect (India)
🏢 HCL Technologies
📍 India