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.

- Strong 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.