Principal AI Architect

2 weeks ago

Allahabad, Uttar Pradesh, India beBeeData Full time ₹ 2,00,19,000 - ₹ 2,51,80,997

Role Overview

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  • Design and integrate cutting-edge AI systems, including Generative AI, Large Language Models (LLMs), multi-agent orchestration, and retrieval-augmented generation (RAG) frameworks.

Key Responsibilities:

  • Build scalable, production-grade AI systems on the cloud, leveraging a strong technical foundation in machine learning, deep learning, and AI infrastructure.

Primary Tools and Technologies:

  • Languages: Python, SQL, Bash
  • ML/AI Frameworks: PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers.
  • GenAI & LLM Tooling: OpenAI APIs, LangChain, LlamaIndex, Cohere, Claude, Azure OpenAI.
  • Agentic & Multi-Agent Frameworks: LangGraph, CrewAI, Agno, AutoGen
  • Search & Retrieval: FAISS, Pinecone, Weaviate, Elasticsearch
  • Cloud Platforms: AWS, GCP, Azure (preferred: Vertex AI, SageMaker, Bedrock)
  • MLOps & DevOps: MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines, Terraform, FAST API
  • Data Tools: Snowflake, BigQuery, Spark, Airflow.

Qualifications:

  • A minimum of 9 years of experience in AI/ML engineering or data science, with at least 2 years in AI architecture or system design.
  • Proven experience designing and deploying LLM-based solutions at scale, including fine-tuning, prompt engineering, and RAG-based systems.
  • A strong understanding of agentic AI design principles, multi-agent orchestration, and tool-augmented LLMs.
  • Proficiency with cloud-native ML/AI services and infrastructure design across AWS, GCP, or Azure.
  • Deep expertise in model lifecycle management, MLOps, and deployment workflows (batch, real-time, streaming).
  • Familiarity with data governance, AI ethics, and security considerations in production-grade systems.
  • Excellent communication and leadership skills, with the ability to influence technical and business stakeholders.

Bonus Points:

  • Experience with data visualization tools like Tableau, Power BI, or D3.js.
  • Knowledge of cloud security best practices and compliance standards (e.g., HIPAA, GDPR).
  • Ability to work with diverse teams and communicate complex technical concepts to non-technical stakeholders.

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