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AI SME Full Stack Engineer with Agentic AI

  • Source: Naukri
  • Capgemini
  • $26,257.66 to $31,509.2 /yr
  • Hybrid
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Role & responsibilities

Principal GenAI Solution Architect(MERN & Azure)

Experience: 8+ Years

Job Summary

Principal GenAI Solution Architect with 8+ years of experience to lead the design and delivery of enterprise-grad Generative AI solutions. The ideal candidate will have deep expertise in full-stack application architecture using the MERN stack, cloud-native development on Azure, and modern AI technologies including AI Agents, RAG, and MCP (Model Context Protocol).

Required Skills

  • 1516 years of experience in software development and solution architecture with expertise in the MERN stack (MongoDB, Express.js, React.js, Node.js).
  • Strong experience in designing scalable enterprise applications using microservices, REST APIs, and cloud-native architectures.
  • Hands-on experience with Generative AI solutions, AI-powered workflows, and Model Context Protocol (MCP) integration.
  • Proficiency in Microsoft Azure, Azure AI services, Azure DevOps, CI/CD pipelines, Docker, and Kubernetes.
  • Strong understanding of system integration, security, application performance, and enterprise architecture best practices.
  • Excellent leadership, stakeholder management, problem-solving, and communication skills with the ability to mentor technical teams.

Key Responsibilities

  • Lead the architecture, design, and implementation of enterprise-grade GenAI solutions using the MERN stack and Azure Cloud.
  • Analyse business requirements and translate them into scalable, secure, and high-performance technical solutions.
  • Design and integrate AI-powered capabilities, MCP-based workflows, and enterprise integrations across applications.
  • Provide technical leadership by driving architecture reviews, technology decisions, and engineering best practices.
  • Collaborate with cross-functional teams to resolve complex technical challenges and ensure successful solution delivery.
  • Mentor engineering teams, establish architectural standards, and continuously evaluate emerging technologies to enhance business solutions.

Preferred candidate profile

Skills

  • azure-arc
  • microsoft-azure
  • MongoDB
  • React
  • NodeJS
  • azure-devops
  • Docker
  • Kubernetes
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