Agentic AI Transformation Lead

Role: Agentic AI Transformation Lead Experience: 10–15+ years (suggested) Location: As per client requirement Employment Type: Full-time

We are looking for an experienced Agentic AI Transformation Lead to drive enterprise-wide AI transformation initiatives by leveraging agentic AI, autonomous AI agents, Generative AI, and intelligent automation. The role involves identifying business opportunities, designing AI-driven solutions, leading implementation, and ensuring measurable business outcomes.

• Define and execute the enterprise Agentic AI transformation roadmap aligned with business goals.
• Identify opportunities to automate complex workflows using AI agents and multi-agent systems.
• Design and implement agentic AI solutions using LLMs, RAG, vector databases, and AI orchestration frameworks.
• Lead proof of concepts (PoCs), pilots, and enterprise-scale AI implementations.
• Integrate AI agents with enterprise applications, APIs, databases, and business systems.
• Establish AI governance, security, compliance, responsible AI, and human-in-the-loop controls.
• Collaborate with business leaders, product teams, data scientists, architects, and engineering teams.
• Evaluate AI use cases based on ROI, feasibility, scalability, and business impact.
• Drive organizational change management and adoption of AI-powered workflows.
• Define KPIs to measure productivity improvements, cost optimization, and operational efficiency.

• Strong experience in Agentic AI and Generative AI transformation.
• Hands-on understanding of LLMs, AI agents, multi-agent architectures, and tool/function calling.
• Experience with frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, or AutoGen.
• Knowledge of RAG, embeddings, vector databases, and prompt engineering.
• Experience integrating AI solutions with enterprise systems and APIs.
• Cloud AI exposure: AWS Bedrock, Azure AI, or Google Vertex AI.
• Strong stakeholder management, solution architecture, and strategic leadership skills.
• Experience leading enterprise AI transformation programs from strategy through deployment.

• Experience with Python and AI/ML engineering.
• Knowledge of AI evaluation, observability, guardrails, and model governance.
• Experience in enterprise automation, business process re-engineering, or digital transformation.
• Familiarity with MCP (Model Context Protocol) and enterprise AI security.

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

• Enterprise Agentic AI roadmap and transformation strategy.
• Successful delivery of AI agent PoCs and production implementations.
• Measurable business value through automation, productivity, and cost optimization.
• Enterprise-ready, secure, scalable, and governed AI solutions.