Data Science/ AI Leader

Organization- Leading Global Management Consulting Organization( One of the BIG 3 Consulting firms)

Role :- Leadership Data Science/ AI Consulting role

Expertise req – AI / Generative AI / Data Science / AI Architecture

Location:

Experience:

Qualification:- Bachelors/Masters/PhD(CS, AI, DS, maths, Stats, Engineering) from Tier 1 institutes

senior AI leader

Key Responsibilities:

• Define and execute the

  AI, GenAI, and AI Architecture strategy

  , aligning advanced technologies with organizational goals.
• Architect and lead

  AI/ML ecosystems

  — spanning data pipelines, model development, orchestration, deployment, and governance.
• Design robust, scalable

  AI architectures

  integrating

  LLMs, GenAI workflows, and RAG pipelines

  within enterprise environments.
• Lead innovation using

  Large Language Models (LLMs)

  such as

  Llama, Mistral, and GPT

  , and build

  agentic AI systems

  leveraging frameworks like

  Autogen

  ,

  LangGraph

  , and

  CrewAI

  .
• Build and optimize

  Generative AI workflows

  , including

  prompt engineering

  ,

  LoRA/QLoRA fine-tuning

  , and

  Retrieval-Augmented Generation (RAG)

  .
• Oversee

  AI platform engineering

  and

  cloud-based infrastructure

  (AWS, Azure, GCP) for scalability, reliability, and performance.
• Collaborate with product, data, and business teams to deliver

  AI-driven architectures and solutions

  that accelerate digital transformation.
• Represent the organization in

  AI thought leadership

  , driving innovation discussions at industry events and forums.

Qualifications:

• 15+ years of experience in

  AI, Machine Learning, Data Science

  , or

  AI Architecture

  , including senior leadership roles.
• Proven success in architecting and deploying

  enterprise-scale AI systems

  and

  GenAI platforms

  .
• Deep expertise in

  LLMs, RAG architectures, AI orchestration frameworks

  , and

  multi-cloud AI infrastructure

  .
• Strong command of

  Python, PyTorch, TensorFlow

  , and modern AI/ML frameworks.
• Track record of building and leading

  high-performing AI and architecture teams

  delivering measurable business outcomes.

• Bachelor’s, Master’s, or PhD

  in

  Computer Science, Data Science, Mathematics, Statistics, Engineering

  , or a related field.
• Excellent leadership, communication, and strategic problem-solving capabilities.

Ideal Candidate:

AI architect and leader