Chief AI Strategist

18 hours ago

Bareilly, Uttar Pradesh, India beBeeData Full time ₹ 2,50,00,000 - ₹ 3,00,00,000
Lead AI Systems Architect

We are seeking a visionary leader to drive the design and integration of cutting-edge AI systems. This role demands a strong technical foundation in machine learning, deep learning, and AI infrastructure, along with hands-on experience in building scalable, production-grade AI systems on the cloud.

This includes expertise in designing and deploying LLM-based solutions at scale, including fine-tuning, prompt engineering, and RAG-based systems. You should have a strong understanding of agentic AI design principles, multi-agent orchestration, and tool-augmented LLMs.

The ideal candidate will have 9+ years of experience in AI/ML engineering or data science, with 2+ years in AI architecture or system design. They should be proficient with cloud-native ML/AI services and infrastructure design across AWS, GCP, or Azure, and have deep expertise in model lifecycle management, MLOps, and deployment workflows.

You will work closely with product, engineering, and data teams to translate business requirements into architectural blueprints and technical roadmaps. This is an exciting opportunity to lead AI solution design reviews and ensure alignment with compliance, ethics, and responsible AI standards.

Key Responsibilities:

  • Architect scalable and secure AI systems leveraging LLMs, GenAI, and multi-agent frameworks to support diverse enterprise use cases.
  • Design and oversee implementation of retrieval-augmented generation (RAG) 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 cross-functional teams to define and enforce AI/ML infrastructure best practices, including security, scalability, observability, and model governance.

Qualifications:

  • Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • Proven track record of delivering AI/ML projects on time and within budget.
  • Excellent communication and leadership skills, with the ability to influence technical and business stakeholders.
  • Experience working with cloud-native ML/AI services and infrastructure design.
  • Deep expertise in model lifecycle management, MLOps, and deployment workflows.

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