🛠 Tech Stack

💼 About This Role

You'll lead Agentic AI and LLM solution design for enterprise clients, translating business problems into scalable AI systems. You'll drive production deployment of multi-agent workflows and mentor senior data scientists. This role offers high impact in a hybrid work environment at a global digital services company.

🎯 What You'll Do

• Design and deploy Agentic AI systems with multi-agent workflows.
• Fine-tune and productionize LLMs for enterprise use cases.
• Translate business objectives into data science and AI problems.
• Mentor senior data scientists and establish best practices.

📋 Requirements

• 14–18 years in Data Science/Machine Learning/AI.
• At least 5 years in a technical leadership role.
• Hands-on experience with Agentic AI frameworks (multi-agent, autonomous agents).
• Proficiency in Python and production deployment of LLMs.

✨ Nice to Have

• Experience with R or Scala.
• PhD in a relevant field.
• Exposure to TensorFlow, PyTorch, Scikit-learn.

🎁 Benefits & Perks

• 🏠 Hybrid work model
• 📚 Learning & development opportunities
• 💡 Innovation culture with cutting-edge AI projects
• 👥 Mentorship and leadership growth

🚩 Heads Up

• Excessive experience range (14-18 years) for a principal role.
• Broad and demanding skill set (Agentic AI, LLMs, MLOps, leadership).