Solution Architect (Java OR Python Application Architecture & GitHub Copilot)

Role Description Job Description

Solution Architect - Java, Python & AI Engineering Job Title Solution Architect

Experience 12+ years overall; 5+ years in architecture or technical leadership

Location India / Client Location, as applicable

Employment Type Full-time

Role Overview We are seeking an experienced Solution Architect with strong hands-on expertise in Java, Python, and AI-enabled software engineering. The architect will define scalable application and platform architectures, guide engineering teams, and accelerate delivery through GitHub Copilot and agentic AI practices. The role combines enterprise architecture, modern application development, cloud-native engineering, technical governance, and customer-facing advisory responsibilities.

Proven experience with GitHub Copilot and agentic AI solutions is mandatory. Exposure to GitHub administration and at least one major cloud platform is preferred.

Key Responsibilities Architecture & Technical Leadership

• Define end-to-end solution architectures for enterprise applications and digital platforms using Java, Python, APIs, microservices, event-driven patterns, and cloud-native services.
• Create architecture blueprints, reference patterns, technology standards, non-functional requirements, and implementation roadmaps.
• Lead technical discovery, architecture reviews, design decisions, proof-of-concepts, and engineering governance across the delivery lifecycle.
• Provide hands-on technical direction to development teams, resolve complex design challenges, and ensure alignment with security, performance, scalability, resilience, and maintainability goals.
• Assess existing application landscapes and recommend modernization, re-engineering, integration, and migration approaches.

Java Engineering

• Architect scalable Java solutions using modern Java, Spring Boot, RESTful services, microservices, messaging, persistence frameworks, and automated testing practices.
• Define standards for application layering, API design, exception handling, observability, configuration, dependency management, and secure coding.
• Guide performance engineering, JVM optimization, concurrency, distributed transaction patterns, and production troubleshooting.
• Promote reusable frameworks, engineering accelerators, and quality gates for enterprise Java delivery.

Python & AI Engineering

• Architect Python-based services, automation components, data-processing workloads, AI integrations, and intelligent developer tooling.
• Design modular and production-ready Python solutions using appropriate API frameworks, testing practices, packaging standards, asynchronous processing, and observability.
• Define solution patterns for integrating large language models, enterprise data sources, retrieval-augmented generation, tool use, and AI-enabled workflows.
• Guide model and service evaluation, prompt design, grounding, responsible AI controls, quality validation, security, operational monitoring, and cost-aware implementation.
• Collaborate with data, security, platform, and product teams to transition AI prototypes into governed, supportable production solutions.

GitHub Copilot & Agentic AI

• Lead adoption of GitHub Copilot across Java and Python engineering teams, including use-case identification, enablement, workflow integration, coding standards, and measurable adoption outcomes.
• Design and implement agentic AI workflows that can reason over context, invoke approved tools, coordinate multi-step tasks, and operate within defined human oversight and security boundaries.
• Establish patterns for AI-assisted coding, code explanation, refactoring, unit-test generation, documentation, code review, troubleshooting, and software delivery automation.
• Define guardrails for prompt handling, sensitive data protection, access control, auditability, human-in-the-loop approvals, responsible AI, and output validation.
• Evaluate Copilot and agentic AI solutions through structured pilots, engineering feedback, quality indicators, productivity measures, risk assessments, and continuous improvement plans.

DevSecOps, Platform & Cloud

• Define CI/CD, build, test, security, release, and deployment patterns for Java and Python workloads using GitHub-centric engineering practices.
• Promote Infrastructure as Code, containerization, Kubernetes, automated policy enforcement, software supply-chain security, and envir…