Agentic AI Architect

dentsu; New Delhi; On-site; INR 350,000 - 550,000; Full time

Job summary

Merkle's DGS India division in Bengaluru invites an experienced architect to lead multi-agent AI systems. You will set engineering standards, own architecture decisions, and mentor a team of agentic engineers while contributing hands-on coding and reviews.

You will evaluate LLM providers, design scalable orchestration, and bridge data science outputs to production deployments, collaborating with an onshore Senior AI Engineer and ensuring robust, observable platforms.

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
• 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 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

Skills

Python

Software architecture

LLM orchestration

Cloud infrastructure

MLOps

Distributed systems

APIs

Mentoring

Code reviews

Tools

LangChain

LangGraph

AutoGen

Job description

Job Description:

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
• 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 scaleli>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