Lead Agentic AI Engineer

We're Hiring | Lead Agentic AI Engineer

Looking for your next opportunity in Agentic AI Engineer We're hiring experienced professionals with strong expertise in Gen AI to join our growing team.

Job Description

Experience - 8-12 years

Location: Bengaluru, Mumbai, Pune

Location: DGS – India (Shift- US Eastern required- 6PM-3AM )

Role Summary

Serve as the technical anchor for Dentsu's agentic AI engineering team in DGS. You will lead architecture decisions for multi-agent systems, set engineering standards, and mentor a growing team of agentic engineers. This is a hands-on leadership role: you write code, review code, and set the technical direction while the Senior Director handles the VP-level strategy and stakeholder management.

Key Responsibilities

• Design and build multi-agent systems using LLM orchestration frameworks (LangChain, LangGraph, CrewAI, or custom)
• Implement AI orchestration use cases for 4+ clients, focusing on low external dependency scenarios
• Build agentic wrappers around existing data science models (MMM, forecasting, RBA, incrementality) so they can be queried and used conversationally
• Set up and configure Genie spaces for client data exploration and self-service analytics
• Develop tool-use patterns that connect agents to Databricks, Power BI, and other platform APIs
• Write production-grade Python code with proper error handling, logging, and monitoring
• Collaborate with Data Scientists to understand model inputs/outputs and build reliable agent interfaces
• Participate in architecture reviews and contribute to the team's agentic design patterns and reusable components

Job Description

Experience - 8-12 years

Location: Bengaluru, Mumbai, Pune

Location: DGS – India (Shift- US Eastern required- 6PM-3AM )

Role Summary

Serve as the technical anchor for Dentsu's agentic AI engineering team in DGS. You will lead architecture decisions for multi-agent systems, set engineering standards, and mentor a growing team of agentic engineers. This is a hands-on leadership role: you write code, review code, and set the technical direction while the Senior Director handles the VP-level strategy and stakeholder management.

Key Responsibilities

• Design and build multi-agent systems using LLM orchestration frameworks (LangChain, LangGraph, CrewAI, or custom)
• Implement AI orchestration use cases for 4+ clients, focusing on low external dependency scenarios
• Build agentic wrappers around existing data science models (MMM, forecasting, RBA, incrementality) so they can be queried and used conversationally
• Set up and configure Genie spaces for client data exploration and self-service analytics
• Develop tool-use patterns that connect agents to Databricks, Power BI, and other platform APIs
• Write production-grade Python code with proper error handling, logging, and monitoring
• Collaborate with Data Scientists to understand model inputs/outputs and build reliable agent interfaces
• Participate in architecture reviews and contribute to the team's agentic design patterns and reusable components

Interested candidates, please share your updated resume at:[HIDDEN TEXT]