Role & responsibilities

- Min. 5 yrs overall, incl. AI & data projects
- High-value consulting or relevant industry/functional experience
- Engages senior stakeholders
- Structured problem-solving; program management
- Robust communication
- Qualifications & Certifications
- • Bachelor's degree (relevant discipline); MBA preferred

Preferred candidate profile 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

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.

Industry Lens

Working knowledge of one priority industry's processes and value drivers; applies it to use-case and roadmap work..

📌 Artificial Intelligence Architect (Bengaluru)
🏢 SDNA Global
📍 Bengaluru