Generative AI Architect

1 week ago

Noida, Uttar Pradesh, India RapidBrains Full time

Job Title : Generative AI Architect

Experience: 5 – 10+ Years

Location: Noida (Hybrid)

Contract Duration: Short Term

Openings: 1

Overview

We are seeking a Generative AI Architect to design, develop, and deploy enterprise-grade GenAI solutions. The role demands deep expertise in LLMs, RAG, MLOps, cloud platforms, and scalable AI architecture.

Key Responsibilities

  • Architect and implement secure, scalable GenAI solutions using LLMs (GPT, Claude, LLaMA, Mistral).
  • Build RAG pipelines with LangChain, LlamaIndex, FAISS, Weaviate, ElasticSearch.
  • Lead prompt engineering and set up evaluation frameworks for accuracy & safety.
  • Develop reusable GenAI modules (function calling, summarization, document chat, Q&A).
  • Deploy workloads on AWS Bedrock, Azure OpenAI, and GCP Vertex AI.
  • Ensure monitoring & observability with Grafana, Prometheus, OpenTelemetry.
  • Apply MLOps best practices (CI/CD, model versioning, rollback).
  • Research emerging trends (multi-agent systems, autonomous agents, fine-tuning).
  • Implement data governance & compliance (PII masking, audit logs, encryption).

Required Skills & Experience

  • 8+ years in AI/ML, including 2–3 years in LLMs / GenAI.
  • Strong coding in Python with Hugging Face Transformers, LangChain, OpenAI SDKs.
  • Expertise in Vector Databases (Pinecone, FAISS, Qdrant, Weaviate).
  • Hands-on with cloud AI platforms – AWS SageMaker/Bedrock, Azure OpenAI, GCP Vertex AI.
  • Experience building RAG pipelines & chat-based applications.
  • Familiarity with agents, orchestration frameworks (LangGraph, AutoGen, CrewAI).
  • Knowledge of MLOps stack (MLflow, Airflow, Docker, Kubernetes, FastAPI).
  • Understanding of prompt security (injection mitigation, hallucination control).
  • Experience in LLMOps & GenAI evaluation metrics (BERTScore, BLEU, GPTScore).
  • Excellent communication & leadership skills for architecture discussions and mentoring.

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