Applied AI Analyst II

About the role

The role combines practical AI research, context engineering, semantic modelling, and hands-on prototyping to connect governed enterprise data with large language models and modern analytics platforms. The individual will investigate how LLMs process context and generate responses, translate those learnings into reliable solution patterns, and build AI-enabled experiences using Claude, Databricks, Power BI, and related technologies.

What you'll do

• Apply working knowledge of concepts and procedures to a variety of analytics and AI assignments, using judgement to solve problems with a moderate level of guidance
• Own well-defined research, experimentation, and prototyping workstreams, documenting assumptions, decisions, results, and limitations
• Research and test LLM behaviours, reasoning patterns, context-window usage, tool use, structured outputs, and failure modes
• Design and optimise system instructions, business context, examples, metadata, retrieval strategies, and tool interfaces so AI responses are grounded, relevant
• Manage context quality, freshness, and token efficiency

What you need

• 3–5 yrs of experience
• SQL
• Python
• LLMs
• Databricks
• Writing
• MLOps
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• AWS
• DAX
• Power Query
• React
• Data modelling
• Prototyping