Job Description:
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
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 ParkBrand:
MerkleTime Type:
Full timeContract Type:
PermanentSkills Required
- 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 including container orchestration and serverless patterns
- Experience with Azure (preferred)
- 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
- 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
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
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Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
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Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
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Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
dentsu Insights
What We Do
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next
