Position Summary

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.

Job 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

Deep Integration with Enterprise Data Platforms
Architect and integrate Agentic AI systems with Databricks, data lakes, data warehouses, streaming platforms, and enterprise APIs
Design and optimize scalable ETL / ELT pipelines (batch and streaming) to power AI, ML, and GenAI workflows
Ensure data quality, lineage,



freshness, and governance for AI-driven applications

AI Architecture, Optimization & Governance
Define architecture patterns, guardrails, and governance frameworks for enterprise Agentic AI
Optimize agent workflows through prompt engineering, tool selection, orchestration strategies, and memory design
Define approaches for context management, token efficiency, latency optimization, and cost control
Ensure reliability, observability, security, and performance of AI systems in production

Leadership & Stakeholder Engagement
Partner with business stakeholders to identify high-impact AI use cases and translate them into scalable solutions
Mentor and lead cross-functional teams across Data Engineering, AI/ML, and Application Engineering
Participate in client discussions, roadmap definition, solutioning, proposals, and Agentic AI thought leadership

Education

BE/B.Tech
Master o

📌 Associate Director Noida (India)
🏢 Axtria
📍 India