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.

Valuable 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.
Solid consulting, problem-solving, stakeholder communication, and presentation skills with experience working in cross-functional teams

Tech fluency

Hands-on depth in at least one platform (AWS, Azure, Google Cloud), data platforms (Databricks,

Snowflake), or foundation models (e.g., Anthropic, OpenAI)., plus conversant across the categories. Can weigh trade-offs (fit, cost, risk) within an engagement.

📌 Consultant, Manager, Senior Manager Bengaluru (India)
🏢 SDNA Global
📍 India