Lead Agentic AI Engineer
- Source: LinkedIn
- Dentsu Global Services
- On-site
- Mumbai
- Full-Time
- Senior
Job Description
🚨 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: [email protected]
Skills
- LangChain
- LangGraph
- crewai
- azure-databricks
- databricks
- power-bi
- Python
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