Basic Requirements
Basic Requirements
* Assist in discovery workshops to identify business opportunities and translate them into AI use cases, business cases, and solution requirements.
* Design end-to-end agent-driven business process flows and define agent hierarchies, help define AI solution blueprints, and high-level reference architectures.
* Develop functional specifications and collaborate with architecture and engineering teams to deliver implementation-ready solution designs.
* Apply foundational knowledge of enterprise data, data management, and analytics to shape AI solution design and business outcomes.
* Evaluate AI platforms, tools, and industry best practices to support solution recommendations and client engagements.
Good to Have
* Experience defining data products, enterprise data models, and AI-ready data foundations.
* Exposure to knowledge graphs, knowledge layers, prompt engineering, and Retrieval-Augmented Generation (RAG).
* Experience developing AI capability roadmaps, AI platform assessments, and value realization plans.
* Strong consulting, problem-solving, stakeholder communication, and presentation skills with experience working in cross-functional teams
Practice: Technology Strategy & Transformation, Global Network
Areas of Work: Enterprise AI Value Strategy
Level: Consultant
Location: Bangalore/Gurugram/Mumbai/Pune/Chennai/Kolkata/Hyderabad
Years of Exp: 5+ years
Role Summary
• Min. 5 yrs overall, incl. AI & data projects
• High-value consulting or relevant industry/functional experience
• Engages senior stakeholders
• Structured problem-solving; program management
• Strong communication
Basic Requirements
Basic Requirements
* Assist in discovery workshops to identify business opportunities and translate them into AI use cases, business cases, and solution requirements.
* Design end-to-end agent-driven business process flows and define agent hierarchies, help define AI solution blueprints, and high-level reference architectures.
* Develop functional specifications and collaborate with architecture and engineering teams to deliver implementation-ready solution designs.
* Apply foundational knowledge of enterprise data, data management, and analytics to shape AI solution design and business outcomes.
* Evaluate AI platforms, tools, and industry best practices to support solution recommendations and client engagements.
Good to Have
* Experience defining data products, enterprise data models, and AI-ready data foundations.
* Exposure to knowledge graphs, knowledge layers, prompt engineering, and Retrieval-Augmented Generation (RAG).
* Experience developing AI capability roadmaps, AI platform assessments, and value realization plans.
* Strong consulting, problem-solving, stakeholder communication, and presentation skills with experience working in cross-functional teams