Solution Architect - Node.js

We are seeking a highly skilled Solution Architect with deep expertise in Node.js and practical experience in AI/ML integration. The ideal candidate will lead solution design, define scalable architectures, and guide teams in building enterprise-grade applications leveraging Modern cloud, AI, and microservices-based systems.

Responsibilities :

- Lead end-to-end solution architecture for large-scale applications, ensuring alignment with business goals.

- Design and implement Node.js -based microservices and distributed systems with a focus on scalability, performance, and reliability.

- Define AI/ML solution blueprints and integrate them into enterprise applications.

- Partner with business stakeholders, product managers, and engineering teams to translate requirements into technical architectures.

- Evaluate emerging technologies (AI/ML frameworks, cloud-native solutions, containerization, serverless) and recommend adoption strategies.

- Ensure compliance with security, regulatory, and architectural standards.

- Mentor engineering teams in solution design, coding standards, and best practices.

- Create technical documentation, including architecture diagrams, solution frameworks, and proof-of-concepts.

Requirements :

- 10- 15 years of experience in software engineering and architecture.

- Strong hands-on expertise in Node.js, JavaScript/TypeScript, and backend frameworks.

- Proven experience in AI/ML integration (using TensorFlow, PyTorch, OpenAI, LangChain, HuggingFace, etc. ).

- Deep understanding of cloud platforms (AWS/Azure/GCP), containerization (Docker, Kubernetes), and serverless architectures.

- Strong knowledge of APIs, REST, GraphQL, event-driven systems, and messaging frameworks (Kafka, RabbitMQ).

- Experience in designing scalable, secure, and highly available enterprise solutions.

- Solid background in databases (SQL/NoSQL) and caching mechanisms (Redis, Memcached).

- Strong stakeholder management, solution presentation, and technical leadership skills.

Preferred Skills :

- Experience with Generative AI, LLM integration, and conversational AI platforms.

- Knowledge of DevOps and CI/CD pipelines for enterprise deployments.

- Prior experience in consulting or pre-sales solutioning.

- TOGAF, AWS/Azure/GCP Solution Architect certification.