Building Performance Architect
Job Title: Architect
Primary Location: Pune | Secondary: Any HM Location
Role Type: Full-time | Development & R&D About the Role
We are building a cutting-edge platform powered by Generative AI to accelerate application modernization and development. This tool automates 40–70% of development tasks-including base structure, multi-tier coding, and unit testing-allowing teams to focus on business logic and innovation.
We are seeking an Architect to lead the design and development of core modules and PoCs for this platform. This role demands deep technical expertise, strategic thinking, and a passion for innovation in GenAI-assisted engineering.
Key Responsibilities
Architect and guide the development of core modules and Proof of Concepts (PoCs) using .NET Full Stack, Angular, and Azure.
Define and evolve technical strategies, frameworks, and reference architectures for GenAI-powered development.
Lead R&D initiatives to integrate Generative AI capabilities for application modernization and intelligent code generation.
Apply prompt engineering techniques to optimize GenAI outputs for development workflows.
Ensure scalable, secure, and high-performance solutions across all tiers (UI, API, Data).
Champion automation in unit testing and enforce best practices in generated code quality.
Stay ahead of emerging trends in GenAI, cloud-native development, and modernization strategies.
Mentor senior developers and collaborate with cross-functional teams to align architecture with business goals.
Required Skills & Experience
10+ years of experience in software development and architecture.
Expertise in:
.NET Core / .NET Framework (API, backend services)
Angular (or similar modern front-end frameworks)
Azure Cloud Services
Proven track record in full-stack architecture and enterprise-grade solution design.
Hands-on experience with Generative AI tools, prompt engineering, and AI-assisted development.
Strong analytical and problem-solving skills.
Experience in R&D, prototyping, and evaluating emerging technologies.
Familiarity with CI/CD pipelines, DevOps practices, and unit testing frameworks.
Preferred Competencies
Experience in application modernization and legacy system transformation.
Knowledge of microservices architecture and containerization (Docker/Kubernetes).
Understanding of AI ethics, data security, and compliance in AI-driven development.
Why Join Us
Architect the future of GenAI-powered development platforms.
Drive innovation in a high-impact, exploratory environment.
Collaborate with top minds in engineering and AI.
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