AI Analytics Specialist (GenAI/LLM)

Quick Facts

• Focus: AI/GenAI (LLM) solutions for Procurement
• Platform: Azure Databricks

Description

You will build, develop, and deploy AI and GenAI solutions that support and automate business processes in Procurement. The work spans from needs analysis and prototyping to implementation, rollout, and ongoing support—while helping data teams strengthen AI practices and foster a data-driven culture.

Responsibilities

• Build, develop, and implement AI and GenAI solutions supporting business processes.
• Process large volumes of data (including unstructured data) in Azure Databricks using available GenAI tools.
• Design and implement LLMOps pipelines and experiment with new Databricks ecosystem capabilities.
• Prepare analyses, prototypes, and recommendations for business teams.
• Collaborate with business to translate requirements into AI/automation solutions and support implementation.
• Support data teams in developing AI best practices and building a data-driven culture.

Requirements

• STEM education (or quantitative economics such as econometrics).
• Fluent proficiency with GitHub Copilot, Genie Code, or similar tools.
• Very good knowledge of Python and ML/AI frameworks.
• Experience with large-scale data, including unstructured data.
• Ability to translate business needs into concrete AI-enabled solutions.
• Knowledge of building GenAI/LLM solutions for end users, including testing, test harnesses, and alignment.
• Experience running end-to-end projects from problem analysis to deployment.
• Ability to explain complex concepts in a clear, understandable way.
• Practical knowledge of building, structuring, and using knowledge bases.
• Practical skills defining skills and working with MCP.
• Ability to evaluate when improving a process yields better results than introducing AI.

Benefits

Not specified in the provided posting.