Lead AI Architect

Dentsu Global Services; Mumbai; Hybrid; INR 5,000,000 - 7,500,000; Full time

Job summary

Dentsu Global Services in Mumbai is seeking an experienced AI/ML Engineer leader to guide architecture for multi-agent systems and AI orchestration. This hands-on role requires writing code, reviewing code, and setting technical direction, while the Senior Director focuses on VP-level strategy.

You will mentor engineers, define standards, and collaborate with offshore teams to deliver scalable agentic applications across client projects.

Qualifications

• 7+ years of software engineering 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.
• 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.
• Strong system design skills with experience in distributed systems and API architecture.
• Excellent written communication for technical documentation and cross-timezone collaboration.

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.

Skills

AI/ML engineering

Python

Distributed systems design

Mentoring / leadership

LLM orchestration

Cloud infrastructure

MLOps

API architecture

Technical writing

Tools

Databricks

Unity Catalog

Genie

LangChain

LangGraph

AutoGen

AKS

Job description

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.

Job Description

Experience - 10-15 Years

Location: Bengaluru, Pune, Mumbai

Mode of Work - Hybrid

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
• 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
• Strong 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 - Mumbai - Thane Ashar IT Park

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent#DGS