- Design and develop end-to-end technical architectures for complex applications and enterprise solutions.

- Provide effective technical solutions to business and engineering challenges.

- Take an active role in software development and guide the team on technical implementation.

- Define architecture, technology stack, design patterns, coding standards, and best practices.

- Lead the development of Full Stack applications across frontend, backend, databases, APIs, and cloud environments.

- Identify opportunities to integrate AI/ML and Generative AI into products and business solutions.

- Stay updated with the latest technologies, frameworks, tools, and industry trends and evaluate their applicability.

- Lead, mentor, and technically guide development teams.

- Review code, architecture, and technical designs to ensure quality, scalability, security, and maintainability.

- Collaborate with product managers, business stakeholders, and engineering teams to understand requirements and translate them into technical solutions.

- Identify technical risks and provide appropriate solutions and mitigation strategies.

- Drive technical innovation and continuously improve development and architecture practices.

Requirements

Required Skills & Qualifications





- 10+ years of professional experience in software development and architecture.
- Strong hands-on experience in software development with a proven development background.
- Proven experience in Solution Architecture and System Architecture.
- Strong expertise in Full Stack Development.
- Strong knowledge of AI/ML, Generative AI, LLMs, and AI-based application development.
- Strong understanding of microservices, REST APIs, databases, cloud technologies, and distributed systems.
- Experience in designing scalable, secure, and high-performance applications.
- Solid knowledge of modern development frameworks, architecture patterns, and DevOps practices.
- Ability to evaluate and adopt new and emerging technologies.
- Excellent problem-solving and analytical skills.
- Strong leadership, communication, mentoring, and team management skills.
- Ability to make sound technical decisions and provide practical solutions to complex problems.

Preferred

- Experience with AWS, Azure, or GCP.
- Experience with Docker, Kubernetes, CI/CD, and cloud-native architectures.
- Experience implementing AI solutions using modern AI/ML frameworks and LLM platforms.
- Experience working in Agile/Scrum environments.

📌 Solution Architect (Tamil Nadu)
🏢 InFynd
📍 Tamil Nadu