Job Description & Summary:  

• We are hiring an AI Transformation Leader to drive AI-led business transformation across enterprise functions. 

• Own the full transformation arc from workflow assessment and stakeholder alignment to solution shaping, pilot rollout, adoption, and value realization. 

• Evaluate AI architectures, guide platform choices, challenge solution designs, and work closely with engineering, architecture, data, and enterprise systems teams. 

• Combine business transformation leadership, enterprise stakeholder management, AI/GenAI solution understanding, process redesign, adoption capability, and strong enterprise technology fluency. 

Responsibilities: 

• Assess current-state business processes and identify high-value AI transformation opportunities. 

• Lead end-to-end transformation from discovery, prioritization, redesign, pilot, rollout, and adoption. 

• Partner with business leaders, IT, analytics, and architecture teams to shape scalable AI initiatives. 

• Translate business problems into transformation roadmaps, use cases, and measurable outcomes. 

• Drive workshops, stakeholder alignment, and business case development. 

• Guide AI solution decisions in line with approved enterprise platforms, data architecture, security, and governance. 

• Prevent shadow AI and fragmented tooling by channeling initiatives through enterprise standards. 

• Support pilot execution and ensure sustainable business adoption and value realization. 

• Influence future-state workflows, operating models, governance, and human-in-the-loop controls. 

Mandatory skill sets: 

• 12+ years in business transformation, digital transformation, enterprise transformation, or AI-led transformation. 

• Strong understanding of business domains such as Finance and Sales. 

• Proven experience owning transformation programs end-to-end, beyond technical component delivery. 

• Strong stakeholder management with business, IT, architecture, operations, and leadership teams. 

• Experience in process discovery, workflow redesign, operating model change, and adoption. 

• Ability to identify AI opportunities and convert them into business-aligned execution roadmaps. 

• Experience in large enterprise environments with governance, InfoSec, and architecture constraints. 

• Strong understanding of AI/ML and GenAI use cases, LLM-powered solutions, enterprise copilots, conversational AI, and intelligent assistants. 

• Good understanding of RAG architectures, vector embeddings, prompt engineering, context engineering, agentic workflows, multi-agent systems, and human-in-the-loop AI design. 

• Familiarity with LangChain, LangGraph, MCP / agent-to-agent orchestration concepts, scalable AI service design, microservices, API-based integration, cloud-native architecture, and production-grade AI solution approaches. 

• Exposure to Azure / AWS Cloud, vector databases, Salesforce, Oracle EBS or similar ERP platforms, Snowflake, REST APIs, MCP, integration architecture, and enterprise data flows. 

• Understanding of responsible AI, enterprise governance, data security and compliance, CI/CD, production deployment, monitoring, and support expectations for enterprise AI products. 

Preferred skill sets: 

• Consulting or enterprise transformation leadership background. 

• Experience in Finance, Sales, Marketing, Customer Success, RevOps, or Enterprise Operations. 

• Prior exposure to AI transformation programs in business functions, not just standalone AI product builds. 

• Ability to bridge business strategy with technical solutioning. 

• Strong competencies in AI strategy, opportunity identification, process redesign, technology evaluation, change management, adoption, governance, risk awareness, executive communication, and cross-functional leadership. 

Years of experience required: 

12+ years 

Education qualification: 

BE, B.Tech, ME, M.Tech, MBA, MCA or equivalent qualification preferred