We're Hiring | Lead Agentic AI Engineer
Looking for your next opportunity in Agentic AI Engineer ? We're hiring experienced professionals with solid 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:

📌 Lead Agentic AI Engineer (Mumbai)
🏢 Dentsu Global Services
📍 Mumbai