- 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.
- 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 (India)
🏢 SDNA TECH
📍 India