Senior AI Architect

3 days ago

Srinagar, Jammu and Kashmir, India beBeeEnterprise Full time ₹ 1,04,000 - ₹ 1,30,878
Job Title

A Senior AI Engineer is required to architect and scale enterprise-grade AI solutions while providing technical leadership across teams. This senior-level role is ideal for experienced engineers who can design a multi-agent AI platform, build scalable cloud-native systems, and drive innovation through applied AI research.

  • This is a unique opportunity to shape the future of AI innovation and make a direct impact on the industries we serve.
Key Responsibilities
  • Architect & Lead: Own the design of a multi-agent AI system (LangGraph + MCP + AWS native stack).
  • Scale the Platform: Ensure highly available, cost-optimized, and production-ready deployments on AWS (Lambda, Fargate, API Gateway, Bedrock, OpenSearch).
  • Data Intelligence: Oversee ETL and embedding pipelines that sync SQL data into vector DBs for context-aware AI.
  • Quality First: Champion CI/CD, SonarQube quality gates, testing strategies, and observability best practices.
  • Secure & Compliant: Define standards for tenant isolation, authentication, authorization, and auditability.
  • Innovation & Research: Prototype new capabilities like voice-to-entry, context-aware reminders, and predictive time entry.
  • Mentorship: Guide mobile, backend, and AI teams through design reviews, technical coaching, and cross-team collaboration.
Requirements
  • 6-8 Years of experience in Software Engineering.
  • Deep expertise in cloud architecture (AWS preferred) and distributed systems.
  • Hands-on with Python / / Kotlin / Java, including designing APIs and microservices.
  • Proven experience with AI/ML systems (LLMs, embeddings, RAG pipelines, or similar).
  • Strong background in CI/CD, code quality, and system observability.
  • Exceptional communicator with ability to partner across engineering, product, and leadership
Benefits
  • This is a unique opportunity to shape the future of AI innovation.
  • You will work across the full stack of AI engineering.
  • You will mentor engineers and collaborate with product and leadership teams.
  • You will champion best practices in quality, observability, and compliance.

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