Senior AI/ML Engineer - Microsoft Azure & Fabric

About the role

ITT Inc., a global manufacturer of engineered components and technology solutions, is looking for a hands-on Senior AI/ML Engineer to join its AI & Data Analytics team. The role designs, builds, integrates and supports enterprise AI/ML solutions in a Microsoft-oriented landscape, combining AI/ML engineering with solution architecture responsibilities. It sits within an ecosystem built on Microsoft Azure, Microsoft Fabric, Azure AI services, Azure OpenAI, Copilot Studio and related cloud technologies.

Key responsibilities

• Design and implement AI/ML, LLM, RAG, AI agent and automation solutions using Azure, Fabric, Azure AI, Azure OpenAI and Copilot Studio.
• Contribute to AI solution architecture, data integration patterns, model deployment and enterprise automation workflows.
• Work with business and IT stakeholders to turn operational pain points into well-defined AI/ML use cases with clear scope, risks and success criteria.
• Gather functional, technical, data and integration requirements and build AI-powered applications, APIs, prototypes, predictive models and production services.
• Integrate AI/ML solutions with Azure services, Fabric, data platforms, APIs and business applications.
• Research and recommend solutions for AI/ML, LLM, RAG, AI agents, automation, MLOps and LLMOps.
• Take part in code and design reviews, and create and maintain technical documentation, diagrams and reusable templates.

Required profile

• 4+ years of professional experience in AI/ML, data science, applied machine learning or AI engineering.
• Hands-on experience designing, developing, deploying and maintaining AI/ML solutions in enterprise settings.
• Experience with LLM applications, RAG architectures, conversational AI, AI agents or intelligent automation.
• Strong business analysis skills and excellent English communication skills.
• Bachelor's degree in a STEM field; a Master's is a strong plus.

Required skills

• Microsoft Azure, Azure AI services, Azure Machine Learning, Azure OpenAI and deployment patterns.
• Microsoft Fabric or similar tools, including data integration, analytics and data engineering.
• Python and relevant frameworks for backend services, APIs, data pipelines and model-serving components.
• Preferred: Azure architecture, advanced Fabric workloads, enterprise RAG, Copilot Studio, Power Platform, Spark/Databricks, MLOps, LLMOps, CI/CD and solution architecture documentation.