Technology

DGS India - Mumbai - Thane Ashar IT Park
About the job

Experience - 10-15 Years

Location: Bengaluru, Pune, Mumbai

Mode of Work - Hybrid

Mandate Background - The person should be from a Data Engineering/ Data Science Background before moving to AgenticAI/GenAI

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
- Lead technical architecture for multi-agent systems, LLM orchestration, and AI automation workflows
- Set up and maintain the agentic engineering stack: frameworks, CI/CD, testing, monitoring, and deployment patterns
- Own the technical design for AI orchestration use cases across 4+ client implementations
- Build and maintain reusable agent components, tool-use libraries,



and prompt templates
- Lead Genie space setup and configuration for client data exploration
- Mentor Senior Agentic Engineers, conducting code reviews and architecture discussions
- Evaluate LLM providers (model selection, cost optimization, latency tradeoffs) and recommend choices
- Bridge the gap between Data Science model outputs and agentic deployment, ensuring models are served efficiently
- Collaborate with the onshore Senior AI Engineer on shared architecture decisions and technical standards
- Contribute to technical documentation, runbooks, and operational playbooks for the agentic platform

Required Qualifications
- 7+ years of software engineering experience with at least 3 years in AI/ML engineering
- Deep expertise in Python and production-grade software architecture
- Hands-on experience building and deploying LLM-powered applications at scale
- Solid knowledge of agent orchestration

📌 Lead AI Architect (India)
🏢 Merkle
📍 India