About the role

What you’ll do

• Develop practical AI-enabled applications and workflows across finance, procurement, operations, and IT
• Connect AI services, enterprise data, and software into working solutions
• Test, release, and improve solutions with attention to reliability
• Collaborate with business and technical specialists to refine outcomes
• Apply secure service connections and authentication when deploying applications or APIs
• Integrate with enterprise systems and manage reference/master data and controlled refreshes

What you’ll need

• Experience with exact lookups, aliases, keyword or fuzzy matching, candidate ranking, and ambiguity handling
• Experience deploying applications or APIs with authentication, secure service connections, and reliability practices such as tests, logs, or monitoring
• Coursework or projects involving machine learning, data engineering, software architecture, or responsible AI
• Exposure to Azure development such as Azure Functions, Azure OpenAI / Microsoft Foundry, Azure AI Speech, or Azure SQL
• Experience using common AI and software development environments such as Jupyter Notebook, Git, Linux, or cloud-based development tools
• Semantic/vector search, deployment pipelines, or enterprise system integration experience is useful

Original job description