Strategic Account Manager

We are looking for a Tech Lead - AI Agentic Systems to lead the design and delivery of next-generation AI applications and platforms. The ideal candidate will be an experienced hands-on technologist and mentor, with a deep understanding of Generative AI, Agentic AI, Databricks, MLOps, and cloud-native architecture. This role combines strategic technical leadership, hands-on development, and team enablement to build scalable, intelligent systems from LLM-powered solutions to multi-agent ecosystems that integrate seamlessly with enterprise systems. Key Responsibilities Technical Leadership Lead a team of AI engineers and data scientists to architect, develop, and deploy intelligent AI systems. Drive end-to-end design of LLM-based, multi-agent, and autonomous AI frameworks, ensuring scalability, governance, and security. Mentor junior engineers, conduct code reviews, and enforce engineering best practices. Partner with product, data, and cloud teams to align technical delivery with business outcomes. Architecture Solution Design Define architectural blueprints for RAG pipelines, MCP-based agentic systems, and AI integration layers. Lead implementation of Databricks Lakehouse-based MLOps pipelines using MLflow, Delta Lake, and Feature Store. Architect high-availability AI workloads across AWS / Azure / GCP environments. Innovation Implementation Build and orchestrate AI agents using LangChain, CrewAI, AutoGen, LangGraph, or Semantic Kernel. Establish frameworks for tool invocation, agent collaboration, and Model Context Protocol (MCP) communication. Drive experimentation with new AI techniques multi-modal models, autonomous planning, or symbolic reasoning. Governance Quality Implement best practices for Responsible AI, observability, and model explainability. Define AI evaluation frameworks, safety protocols, and quality assurance mechanisms for LLMs and agents. Ensure compliance with organizational and cloud governance policies.