About this role
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 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