Role Overview:

We are looking for an experienced AI Solution Architect with strong expertise in Node.js, enterprise application architecture, and modern AI technologies. The candidate will be responsible for designing scalable AI-powered applications and platforms using Node.js, microservices, APIs, LLMs, Generative AI, RAG, and intelligent automation.

Key Responsibilities:

- Define end-to-end architecture for AI-powered enterprise applications using Node.js.
- Design scalable backend services, APIs, microservices, and event-driven architectures.
- Integrate LLMs and Generative AI capabilities into enterprise applications.
- Design RAG-based solutions using enterprise data, documents, knowledge bases, and vector databases.
- Architect AI-powered workflows, intelligent automation, and AI-agent-based solutions.
- Design integrations between AI applications and enterprise systems through APIs and messaging platforms.
- Evaluate LLMs, AI models, vector databases, AI frameworks, and supporting technologies.
- Design prompt, context, memory, retrieval, and orchestration layers for AI applications.
- Ensure AI solutions are scalable, secure, observable, cost-effective, and production-ready.
- Lead technical architecture discussions with engineering, product, data, security, and business teams.
- Define API standards, integration patterns, data flows, and application architecture.
- Drive modernization and transformation of existing Node.js applications using AI capabilities.
- Establish best practices for AI application development, testing, monitoring, and model evaluation.




- Identify technical risks and define mitigation strategies for AI and distributed-system architectures.
- Mentor engineering teams and provide technical guidance on Node.js, cloud, and AI architecture.

Technical Skills:

- Strong expertise in Node.js and JavaScript/TypeScript.
- Strong experience with Express.js, NestJS, or equivalent Node.js frameworks.
- Expertise in REST APIs, microservices, event-driven architecture, and distributed systems.
- Strong understanding of Generative AI, LLMs, RAG, embeddings, and vector databases.
- Experience designing AI agents, AI workflows, or intelligent automation solutions.
- Knowledge of LLM APIs, tool/function calling, prompt engineering, context management, and agent orchestration.
- Experience integrating AI capabilities with enterprise applications and APIs.
- Strong knowledge of relational and NoSQL databases.
- Experience with cloud platforms, containers, Kubernetes, CI/CD, and DevOps practices.
- Understanding of AI security, data privacy, observability, performance, and cost optimization.
- Experience with enterprise integration patterns and asynchronous messaging.

Preferred Profile:

- Strong experience in solution architecture and backend engineering.
- Proven ability to design enterprise-grade Node.js and AI solutions.
- Robust understanding of modern cloud-native and AI architectures.
- Excellent communication and stakeholder-management skills.
- Ability to lead technical discussions and guide engineering teams.
- Strong strategic thinking and problem-solving capabilities.

📌 EPAM Systems - AI Solution Architect - Node.js (India)
🏢 EPAM Systems
📍 India