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 :
- 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.(ref : hirist.tech)