Role: Agentic AI Lead (Data Engineering → Gen AI Transformation)
We are seeking senior Data Engineering leaders who have evolved into hands‑on Gen AI / Agentic AI practitioners. This role is not for pure research, academic, or experimentation-focused profiles. The expectation is production-grade delivery , grounded in strong 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 Gen AI implementations beyond POCs into stable, scalable, and observable production systems
Must-Have Profile : Core Background
12+ years of experience with a solid foundation in Data Engineering , evolving into AI / Gen AI delivery roles




Proven experience delivering production-grade Gen AI / Agentic AI solutions in real enterprise environments
Data Engineering Excellence
Deep expertise in Databricks (Py Spark, 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 & Gen AI Capabilities
Hands-on experience with LLM frameworks such as Lang Chain, Llama Index, Auto Gen, Crew AI, 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 (Noida)
🏢 Axtria - Ingenious Insights
📍 Noida