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As an AI Developer part of the Data Insights & AI team, you will design, develop, and deploy AI and Generative AI solutions that address real business challenges across multiple domains, including Route-to-Market, Omnichannel, Revenue Growth Management, Supply Chain, and Finance. You will work end-to-end, from identifying opportunities with business stakeholders to building scalable, production-ready solutions using Azure and Databricks. The role combines applied machine learning, Generative AI and strong engineering practices to deliver measurable business impact across our 29 markets.
Job Responsibility
Collaborate with business stakeholders to understand challenges and identify high-impact AI use cases
Translate business problems into structured AI/GenAI solution designs
Define end-to-end cloud architectures for scalable AI solutions
Develop machine learning models and data-driven solutions
Build Generative AI applications (e.g., LLM-based assistants, RAG pipelines, APIs)
Work with large structured and unstructured datasets to generate actionable insights
Deploy AI models and services using Azure and/or Databricks
Develop scalable pipelines for production environments
Integrate AI solutions with enterprise systems via APIs and endpoints
Ensure reliability, performance, and maintainability
Develop proof-of-concepts (PoCs) for new AI and GenAI use cases
Evaluate emerging technologies and assess business impact
Scale successful prototypes into production
Requirements
4+ years of experience developing AI / Machine Learning (ML) solutions
Hands-on GenAI experience (LLMs, RAG, Function Calling, MCP, Prompt Eng.)
Strong Python and SQL coding skills
Experience with cloud development (MSFT Azure or GCP or AWS) and Databricks
Solid ML and statistical modeling knowledge
Experience delivering production-ready solutions consuming APIs, deployments and endpoints