Ai Delivery Lead

Position : AI Delivery Lead

Exp : 12yrs to 15yrs

Location : Bangalore

Work Mode : Hybrid(4days work from office and 1 day work from home)

Job Description

Role Summary:
We are looking for a Senior Agentic AI Architect to design and build a next-generation enterprise Agentic AI platform and solutions powering hundreds of users and complex multi-agent role goes beyond LLM integration-you will define agentic architecture orchestration patterns governance frameworks and enterprise-scale deployment strategies to enable autonomous reliable and explainable AI will work closely with product engineering and business stakeholders to transform AI from experimentation to production-grade business-critical systems.

Responsibilities

Define end-to-end architecture for multi-agent systems (hierarchical collaborative autonomous agents)
Design reusable agent frameworks templates and SDKs
Establish agent orchestration patterns (planner-executor tool-using agents multi-agent coordination)
Design agent control planes (task routing agent selection execution flows)
Define patterns for: Human-in-the-loop Agent supervision & escalation Multi-agent negotiation & collaboration
Build and deploy frameworks for Agent governance & policy enforcement
Define metrics for:Agent accuracy latency cost and success rate
Design Context window optimization strategies Dynamic context injection Memory pruning & summarization
Define agent interaction paradigms:Conversational UX Task-driven workflows
Evaluate and leverage platforms like Azure AI Foundry / AWS Bedrock / Google Vertex AI/Langgraph

Skills & Qualifications :

Strong expertise in Generative AI LLMs and Agentic AI systems
Hands-on experience with agent frameworks (Microsoft Foundry agent CrewAI Google ADK Langgraph)
Deep understanding of multi-agent architectures and orchestration patterns
Proficiency in Python and/or TypeScript for AI system development
Experience with cloud platforms (Azure AWS or Google Cloud) and AI services
Knowledge of RAG vector databases and context engineering techniques
Experience designing scalable distributed and microservices-based architectures
Strong understanding of AI governance guardrails and responsible AI practices
Experience with model evaluation performance optimization and monitoring
Ability to translate business requirements into enterprise-grade AI solutions