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Artificial Intelligence Architect

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Onsite

Artificial Intelligence Architect

Tringapps Research Labs

Artificial Intelligence Architect

Skills

Google Cloud PlatformSQL QueriesDockerReactNodeTypescriptData ScienceJavaMicroservicesSpring BootMachine LearningAIAWSKubernetesJavascriptAzure

8 days ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


[email protected]

Job Description

We are looking for an experienced AI Architect with strong expertise in AI/ML, Generative AI, and full-stack application architecture using Java or Node.js and React.js. The ideal candidate will be responsible for designing scalable, secure, and high-performance AI-powered enterprise applications and leading technical architecture and implementation.

Key Responsibilities

  • Design and implement end-to-end AI/ML and Generative AI solutions for enterprise applications.
  • Define AI architecture, solution design, technology standards, and best practices.
  • Develop backend services and APIs using Java (Spring Boot) or Node.js.
  • Design and build responsive frontend applications using React.js.
  • Implement Generative AI solutions using LLMs, RAG, vector databases, and AI agents.
  • Integrate AI services with enterprise applications, databases, and third-party APIs.
  • Design microservices-based, cloud-native, and scalable application architectures.
  • Work with cloud platforms such as AWS, Azure, or GCP.
  • Ensure application security, performance, scalability, and reliability.
  • Lead technical discussions, architecture reviews, proof of concepts, and code reviews.
  • Collaborate with product managers, business stakeholders, developers, and data science teams.

Required Skills

  • Strong experience in AI architecture, solution design, and enterprise application development.
  • Hands-on experience with Java and Spring Boot or Node.js.
  • Strong experience in React.js, JavaScript/TypeScript, HTML, and CSS.
  • Knowledge of REST APIs, microservices, event-driven architecture, and distributed systems.
  • Experience with Generative AI, LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG).
  • Familiarity with vector databases such as Pinecone, FAISS, Weaviate, or Azure AI Search.
  • Experience with AI frameworks and libraries such as LangChain, LangGraph, or Semantic Kernel.
  • Knowledge of SQL/NoSQL databases, Docker, Kubernetes, and CI/CD pipelines.
  • Experience with AWS, Azure, or GCP cloud services.
  • Strong problem-solving, communication, and technical leadership skills.

Email id - [email protected]

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