Senior AI Architect

13 hours ago

Bharatpur, Rajasthan, India beBeeDataScientist Full time US$ 2,00,000 - US$ 2,50,000
Job Description

We are seeking a visionary leader to architect cutting-edge AI systems, including generative AI and large language models.

This role demands a strong technical foundation in machine learning and deep learning, along with hands-on experience in building scalable, production-grade AI systems on the cloud.

The ideal candidate combines architectural leadership with hands-on proficiency in modern AI frameworks and can translate complex business goals into innovative, AI-driven technical solutions.

Key Responsibilities:

  • Architect scalable and secure AI systems leveraging LLMs and GenAI to support diverse enterprise use cases.
  • Design and oversee implementation of retrieval-augmented generation pipelines integrating vector databases and LLMs.
  • Build robust agentic workflows using tools like LangGraph, CrewAI, or Agno, enabling autonomous task execution, planning, memory, and tool use.
  • Collaborate with product, engineering, and data teams to translate business requirements into architectural blueprints and technical roadmaps.
  • Define and enforce AI/ML infrastructure best practices, including security, scalability, observability, and model governance.
Required Skills and Qualifications

9+ years of experience in AI/ML engineering or data science, with 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.

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.

Benefits

Primary Stack and Tools:

  • 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.

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