Location: Bangalore (Hybrid)

ROLE SUMMARY

As Manager – AI Engineering, you will lead a multidisciplinary team of AI Engineers and

Data Scientists delivering GenAI-powered solutions, agentic AI systems, LLM-integrated

applications, machine learning models, and retrieval-enabled intelligent products. This

role combines technical leadership, people management, delivery accountability, and

product ownership. You will be responsible for ensuring that the team delivers scalable,

secure, supportable, and business-relevant AI and ML solutions from discovery through

production operation and continuous improvement.

This is not a lightweight line-management role. The successful candidate must be

technically strong enough to guide senior engineers, data scientists, and technical

leads, make sound architectural and implementation trade-offs, and raise the

engineering bar of the team. You are expected to provide hands-on technical direction

across LLM-powered systems, agent orchestration, RAG, ML model development,

MLOps, cloud-native application delivery, integrations,



observability, and SDLC

discipline, while also building a culture of accountability, ownership, experimentation

rigor, and engineering excellence.

You will work closely with Product Managers, Solution Architects, Lead AI Engineers,

Lead Data Scientists, Platform teams, DevOps, Security, and business stakeholders to

translate business goals into implementable engineering work and durable product

outcomes.

KEY RESPONSIBILITIES

● Lead and mentor a team of AI Engineers and Data Scientists across varying

experience levels, including senior engineers and technical leads, ensuring solid

delivery quality, modeling rigor, engineering discipline, and technical growth

● Own end-to-end delivery of GenAI, agentic AI, and ML-enabled solutions — from

discovery, design, and backlog shaping through development, testing, deployment,

monitoring, and continuous improvement

● Guide architectural and design

📌 Manager Ai (Tumakuru)
🏢 Xpheno
📍 Tumakuru