Expert AI System Designer

20 hours ago

Cochin, Kerala, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,01,00,000

Job Title:

Data Architect

We're seeking an expert in Artificial Intelligence to design and integrate innovative AI solutions. This visionary leader will oversee the development of cutting-edge systems, including Generative AI, Large Language Models, and multi-agent orchestration frameworks.

This role demands a strong technical foundation in machine learning, deep learning, and AI infrastructure. The ideal candidate combines architectural leadership with hands-on experience in building scalable, production-grade AI systems on the cloud.

The primary stack and tools for this position include Python, SQL, Bash, PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers, OpenAI APIs, LangChain, LlamaIndex, Cohere, Claude, Azure OpenAI, LangGraph, CrewAI, Agno, AutoGen, FAISS, Pinecone, Weaviate, Elasticsearch, AWS, GCP, Azure, MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines, Terraform, FAST API, Snowflake, BigQuery, Spark, Airflow.

Key Responsibilities:

  • Design and implement retrieval-augmented generation pipelines integrating vector databases, LLMs, and proprietary knowledge bases.
  • 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.
  • Evaluate emerging GenAI & agentic tools; run proofs-of-concept and guide build vs-buy decisions.

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.
  • 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.

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