Agentic AI Architect

**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** * 10 - 12 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