Manager AI-ML

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.