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Simplilearn - AI / ML Architect - GenAI / LLMs & Enterprise Automation

Simplilearn - AI / ML Architect - GenAI / LLMs & Enterprise Automation

SimplilearnBangalore, India
30+ days ago
Job description

Job Title : AI / ML Architect - GenAI, LLMs & Enterprise Automation

Location : Bangalore

Experience : 8+ years (including 4+ years in AI / ML architecture on cloud platforms)

Role Summary

We are seeking an experienced AI / ML Architect to define and lead the design, development, and scaling of GenAI-driven solutions across our learning and enterprise platforms. This is a senior technical leadership role where you will work closely with the CTO and product leadership to architect intelligent systems powered by LLMs, RAG pipelines, and multi-agent orchestration.

You will own the AI solution architecture end-to-end-from model selection and training frameworks to infrastructure, automation, and observability. The ideal candidate will have deep expertise in GenAI systems and a strong grasp of production-grade deployment practices across the stack.

Must-Have Skills

  • AI / ML solution architecture experience with production-grade systems
  • Strong background in LLM fine-tuning (SFT, LoRA, PEFT) and RAG frameworks
  • Experience with vector databases (FAISS, Pinecone) and embedding generation
  • Proficiency in LangChain, LangGraph, LangFlow, and prompt engineering
  • Deep cloud experience (AWS : Bedrock, ECS, Lambda, S3, IAM)
  • Infra automation using Terraform, CI / CD via GitHub Actions or CodePipeline
  • Backend API architecture using FastAPI or Node.js
  • Monitoring & observability using Langfuse, LangWatch, OpenTelemetry
  • Python, Bash scripting, and low-code / no-code tools (e.g., n8n)

Bonus Skills

  • Hands-on with multi-agent orchestration frameworks (CrewAI, AutoGen)
  • Experience integrating AI / chatbots into web, mobile, or LMS platforms
  • Familiarity with enterprise security, data governance, and compliance frameworks
  • Exposure to real-time analytics and event-driven architecture
  • You'll Be Responsible For

  • Defining the AI / ML architecture strategy and roadmap
  • Leading design and development of GenAI-powered products and services
  • Architecting scalable, modular, and automated AI systems
  • Driving experimentation with new models, APIs, and frameworks
  • Ensuring robust integration between model, infra, and app layers
  • Providing technical guidance and mentorship to engineering teams
  • Enabling production-grade performance, monitoring, and governance
  • (ref : iimjobs.com)

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