Solution Architect - Nodejs+ AI

10 - 15 years

35 - 50 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

About the Role

Solution Architect

Key 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 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.

Required Skills & Qualifications

  • 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.

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