Location: Bengaluru, Mumbai, Pune, Gurugram

Experience - 12-15 years

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 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 and technically lead 3 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

12 - 15 years of software engineering experience with at least 4 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

Strong knowledge of agent orchestration patterns (LangChain, LangGraph, AutoGen, or custom frameworks)

Experience with cloud infrastructure (Azure preferred) including container orchestration and serverless patterns

Track record of mentoring engineers and raising team engineering standards

Experience with MLOps: model serving, monitoring, versioning, and cost management

Robust system design skills with experience in distributed systems and API architecture

Excellent written communication for technical documentation and cross-timezone collaboration

Preferred Qualifications

Experience with Databricks, Unity Catalog, and/or Genie

Background in media technology, adtech, or marketing analytics platforms

Experience with RAG architectures, vector databases, and semantic search at scale

Contributions to open-source AI/ML projects

Experience leading technical teams in a DGS/offshore delivery model

Location

DGS India - Bengaluru - Manyata N1 Block

Brand

Merkle

Time Type

Full time

Contract Type

Permanent

📌 Agentic AI Architect (Pune)
🏢 dentsu
📍 Pune