Brillio
Brillio
Brillio is a technology consulting company helping organizations navigate digital transformation across healthcare, insurance, logistics, financial services, telecom and media, life sciences, and retail. Its work spans customer experience, data and AI, generative AI, product and platform engineering, and infrastructure, cloud, and security. Brillio combines engineering expertise with industry knowledge to develop digital products and modernize technology environments, helping businesses respond to changing market and technology demands.

Senior AI Solutions Architect at Brillio — Bangalore Hybrid

Lead architecture for Brillio’s AI-first Agentic AI products and MERN microservices. Shape cloud-native, event-driven platforms while guiding CI/CD practices and engineering teams.

Description

  • Shape scalable architectures for AI-first products from MVP through production
  • Design Agentic AI systems using autonomous and semi-autonomous agents, tools, workflows, memory, planning, reasoning, and orchestration
  • Select the right combination of LLM agents, RAG, deterministic workflows, APIs, services, and machine learning models for product capabilities
  • Build distributed systems and microservices with MERN technologies, including Node.js, React, and NestJS
  • Create and improve event-driven platforms with Kafka, Docker, and Kubernetes for orchestration and deployment
  • Implement automated CI/CD pipelines supporting deployment and continuous integration
  • Deliver performant, secure, and reliable cloud-native applications on Microsoft Azure, using MongoDB where appropriate
  • Conduct code reviews, uphold engineering standards, and mentor teams in advanced JavaScript, TypeScript, and Jest-based testing

Requirements

  • At least 10 years of experience, including substantial work architecting MERN full-stack microservices and AI-driven solutions
  • Advanced proficiency with TypeScript, JavaScript, Node.js, Express.js, React.js, NestJS, CSS3, HTML5, MongoDB, Kafka, Docker, Kubernetes, Jest, and distributed microservices
  • Experience designing AI-first and Agentic AI solutions is preferred
  • Practical experience with Microsoft Azure cloud services is preferred
  • Knowledge of AI orchestration patterns is preferred
  • Expertise in planning and reasoning workflows for AI agents is preferred
  • Familiarity with Retrieval-Augmented Generation techniques is preferred
  • Experience integrating conventional APIs and machine learning models into microservices is preferred
  • Experience with Oracle RDBMS is preferred
  • A bachelor’s degree in Computer Science, Information Technology, or Software Engineering is desired
  • Microsoft Certified: Azure Solutions Architect Expert certification is desired
  • Certified Kubernetes Administrator certification is desired

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