Role: Agentic AI Lead (Data Engineering → GenAI Transformation)

We are seeking senior Data Engineering leaders who have evolved into hands‑on GenAI / Agentic AI practitioners. This role is not for pure research, academic, or experimentation-focused profiles. The expectation is production-grade delivery, grounded in solid data engineering fundamentals and scaled enterprise systems.

Key Responsibilities

Lead Agentic AI Delivery at Enterprise Scale
Lead end-to-end architecture, design, and production deployment of Agentic AI solutions for complex enterprise and Life Sciences use cases
Build, deploy, and optimize multi-agent systems involving planning, reasoning, orchestration, tool usage, and memory management
Drive GenAI implementations beyond POCs into reliable, scalable, and observable production systems

Must-Have Profile : Core Background
12 years of experience with a solid foundation in Data Engineering, evolving into AI / GenAI delivery roles




Proven experience delivering production-grade GenAI / Agentic AI solutions in real enterprise environments

Data Engineering Excellence
Deep expertise in Databricks (PySpark, Delta Lake, workflows, optimization)
Extensive experience designing, building, and scaling ETL pipelines (batch and streaming)
Strong programming skills in Python and SQL
Hands-on experience with cloud platforms (AWS, Azure, or GCP)

Agentic AI & GenAI Capabilities
Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent
Real-world implementation of multi-agent systems and autonomous workflows
Experience building RAG-based, tool-integrated AI solutions
Practical knowledge of model fine-tuning / adaptation techniques
Strong understanding of:
Prompt engineering
LLM orchestration and tool usage
Memory handling, agent context, and workflow optimization

📌 Genai Lead / Architect Secunderabad (India)
🏢 Axtria
📍 India