Solution Architect

Job Summary

Key Responsibilities

• Design end-to-end architecture for web/mobile applications with scalability, performance, and security as core principles
• Define architectural standards, patterns, and best practices across engineering teams.
• Evaluate and recommend technology stacks, tools, and frameworks.
• Guide teams in building front-end and back-end applications using Next.js, React, Python, Node.js, and modern API architectures.
• Support the development of AI-driven applications using LangChain, LangGraph, vector databases, and LLM orchestration frameworks.
• Ensure adherence to clean coding, modular structure, and reusable components.
• Establish testing frameworks and automation strategies for unit, integration, performance, and security testing.
• Define guidelines for QA processes and ensure the delivery of robust, bug-free applications.
• Architect, deploy, and maintain applications on Google Cloud Platform (GCP) and Microsoft Azure.
• Optimize cloud usage with a focus on security, reliability, and cost efficiency.
• Implement CI/CD pipelines, containerization, and infrastructure-as-code using modern DevOps tools.
• Ensure secure application development practices including threat modelling, secure coding, vulnerability scanning, and compliance standards.
• Lead governance around access control, data protection, and cloud security.
• Collaborate closely with product, engineering, QA, DevOps, and business teams.
• Mentor technical teams and drive architectural reviews and technical decision-making.
• Support pre-sales / client discussions on technical feasibility and solutioning.

• Excellent communication and stakeholder management.
• Strong problem-solving approach with analytical thinking.
• Ability to mentor and lead engineering teams
• Proactive ownership mindset with high attention to detail.

• Prior experience as a Solution Architect / Technical Architect / Lead Engineer.
• Experience with vector databases (Pinecone, Chroma, Weaviate, FAISS).
• Experience implementing generative AI or LLM-integrated systems.
• Certifications in Azure, GCP, or security domains.

• Strong experience in Next.js, React, Node.js, Python.
• Hands-on expertise with LangChain, LangGraph, and AI/ML-based workflow design.
• Deep understanding of scalable application design, microservices, and API-first architecture.
• Experience building & testing web and mobile applications.
• Strong cloud engineering experience with Google Cloud and Azure.
• Expertise in DevOps tools (CI/CD, Docker, Kubernetes, Terraform, GitHub Actions, etc.).
• Strong understanding of application, data, and cloud security principles.
• Familiarity with ERP systems is a plus.