Lead architecture and engineering for multi-agent LLM systems, build agent components and orchestration pipelines, set engineering standards, mentor senior engineers, evaluate LLM providers, and produce operational runbooks and deployment patterns for client implementations.
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 BlockBrand:
MerkleTime Type:
Full timeContract Type:
PermanentSimilar Jobs
AdTech • Marketing Tech
Lead architecture and engineering for multi-agent LLM systems: design orchestration, build reusable agent components, set CI/CD and deployment standards, evaluate LLM providers, mentor senior engineers, and produce operational runbooks and documentation for agentic AI deployments.
Top Skills:
AutogenAzureCi/CdContainer OrchestrationDatabricksGenieLangchainLanggraphLlmsMlopsPythonRagSemantic SearchServerlessUnity CatalogVector Databases
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Build and scale enterprise applications across C#/.NET backends and React/TypeScript frontends. Design APIs, data access layers, application architecture, and cloud deployments in Azure. Use AI coding tools and help implement AI-enabled product features. Mentor developers, conduct code reviews, improve testing and CI/CD, troubleshoot production issues, and optimize performance and reliability while collaborating with product stakeholders in Agile/Scrum teams.
Top Skills:
.NetApplication InsightsAsp.Net CoreAzureAzure AiAzure App ServiceAzure SqlC#Ci/CdDapperEntity FrameworkGitGithub CopilotOpenai ApisReactRedisSQL ServerTypescript
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Oversee private equity fund accounting, NAV calculations, capital accounts, waterfalls, carried interest, fees, expenses, transactions, valuations, and financial reporting. Review statements and investor packages, manage audits, ensure LPA and accounting-standard compliance, coordinate with auditors and tax advisors, and lead a fund accounting team. Drive controls, process standardization, automation, and system enhancements while supporting clients, GPs, and internal stakeholders.
Top Skills:
GenevaIfrsInvestranLux GaapExcelUs Gaap
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
