GenAi Lead / Architect

Axtria - Ingenious Insights; Dadri; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Axtria - Ingenious Insights is looking for senior Data Engineering leaders with experience in GenAI and Agentic AI. The role demands hands-on delivery of production-grade solutions for complex enterprise and Life Sciences use cases.

Applicants should have 12+ years of experience in Data Engineering, deep expertise in Databricks, and a strong programming background in Python and SQL. The position offers an opportunity to work with innovative AI technologies and multi-agent systems.

Qualifications

• 12+ years of experience in Data Engineering, evolving into GenAI roles.
• Proven experience delivering production-grade GenAI solutions.
• Deep expertise in Databricks including PySpark and Delta Lake.

Responsibilities

• Lead end-to-end architecture and production deployment of Agentic AI solutions.
• Build, deploy, and optimize multi-agent systems for enterprise use cases.
• Drive GenAI implementations beyond POCs into stable production systems.

Skills

Data Engineering

GenAI

Python

SQL

ETL pipelines

Databricks

Cloud platforms (AWS, Azure, GCP)

Multi-agent systems

Tools

Databricks

LLM frameworks

Job description

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 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 GenAI implementations beyond POCs into stable, scalable, and observable production systems

Must-Have Profile : Core Background

• 12+ years of experience with a strong foundation in Data Engineering, evolving into AI / GenAI delivery roles
• Proven experience delivering production-grade GenAI / Agentic AI solutions in real enterprise environments
• 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:
• LLM orchestration and tool usage
• Memory handling, agent context, and workflow optimization