ITT Inc. (NYSE: ITT) is a diversified global leading manufacturer of highly engineered critical components and customized technology solutions serving the flow, aerospace and defense, transportation, industrial, and energy markets. Through operational execution, innovation, and disciplined capital deployment, including strategic acquisitions such as SPX FLOW, ITT partners with its customers to deliver enduring solutions to the key industries that underpin our modern way of life. 

Headquartered in Stamford, Connecticut, ITT has a market cap of roughly $20 billion and employs more than 15,000 people across 40 countries and serves customers in approximately 125 countries. Following the acquisition of SPX FLOW, the company is expected to generate $5.4 billion in annual revenue.

Our businesses are organized in three distinct segments, each based around our core engineering DNA: 

Flow Technologies: A global leader in, providing a broad portfolio of pumps, valves, mixing and agitation equipment, heat transfer, homogenizers, separation, water and wastewater treatment, and engineered process solutions.Our leading brands include the iconic Goulds Pumps (with more than 175 years of history), Anhydro, APV, Bornemann, Bran+Luebbe, C’treat, Engineered Valves, Gerstenberg Schröder, Goulds Pumps, Habonim, Johnson Pump, Lightnin, Philadelphia, Plenty, PRO Cast, Rheinhütte, Seital Separation, Stelzer, Svanehøj, Tigerholm, Uutechnic, VIDAR, Waukesha Cherry-Burrell.

Motion Technologies: A global leader in brake pads (ICE and electrified brake pads) and shock absorbers (energy absorption solutions) for transportation applications. Our leading brands include Friction Technologies, KONI and Axtone.

Connect and Control Technologies: A leader in critical applications for the aerospace, defense and industrial markets, including harsh environment connectors and control components. Our leading brands include ITT Cannon, Enidine, Aerospace Controls and kSARIA. 

Do you enjoy understanding business needs, designing, and implementing AI/ML Solutions?

Do you want to join a global Industry Leader?

We are seeking a hands-on Senior AI-ML Engineer to join the AI & Data Analytics team. The position is responsible for designing, building, integrating, and supporting enterprise AI/ML solutions within a Microsoft-oriented technology landscape. The company’s AI, data, and analytics ecosystem is based on Microsoft Azure, Microsoft Fabric, Azure AI services, Azure OpenAI, Copilot Studio, and related Microsoft cloud technologies. The successful candidate must have strong practical knowledge of these platforms and be able to apply them in the design and delivery of AI/ML solutions, data integration workflows, LLM applications, RAG architectures, AI agents, and intelligent automation.

This position combines strong AI/ML engineering capability with practical solution architecture responsibilities. The Senior AI/ML Engineer will contribute to technical approaches, shape scalable design options, assess implementation trade-offs, provide technical recommendations, and help ensure solutions are aligned with Azure, Microsoft Fabric, enterprise standards, and business objectives.

The role requires strong business analysis and business relationship management skills. The candidate will partner with business and IT stakeholders to understand operational processes, identify pain points, clarify requirements, evaluate business value, and translate business needs into practical AI/ML solutions.

The successful candidate will be highly accountable, detail-oriented, business-minded, comfortable working through ambiguity, and capable of balancing multiple priorities. The Senior AI/ML Engineer will collaborate closely with other members of the AI & Data Analytics team to deliver scalable, reliable, cost-effective, and impactful AI solutions.

• Design and implement AI/ML, LLM, RAG, AI agent, and automation solutions using Microsoft Azure, Microsoft Fabric, Azure AI services, Azure OpenAI, Copilot Studio, and related Microsoft technologies.
• Contribute to AI solution architecture, data integration patterns, model deployment approaches, and enterprise automation workflows.
• Work directly with business and IT stakeholders to identify business needs, operational pain points, process gaps, and opportunities for AI/ML-enabled improvement.
• Structure ambiguous business problems into well-defined AI/ML use cases with clear scope, assumptions, dependencies, risks, and success criteria.
• Gather and clarify functional, technical, data, and integration requirements for AI/ML initiatives.
• Translate business needs into scalable technical designs, implementation plans, and measurable delivery outcomes.
• Build AI-powered applications, APIs, prototypes, predictive models, intelligent workflows, and production-ready services.
• Integrate AI/ML solutions with Azure services, Microsoft Fabric, Azure OpenAI, Copilot Studio, enterprise data platforms, APIs, and business applications.
• Conduct technical research and recommend practical solution options for AI/ML, LLM, RAG, AI agents, automation, MLOps, and LLMOps use cases.
• Participate in code reviews, design reviews, and technical quality checks to ensure alignment with coding principles, reusable patterns, documentation standards, security expectations, and maintainability requirements.
• Create and maintain technical documentation, solution diagrams, requirements summaries, implementation notes, and reusable templates.
• Driving continuous improvement in AI engineering practices, reusable solution patterns, documentation, governance, and maintainability.
• Ensure high standards of code quality, documentation, security, and maintainability across AI/ML projects

• 4+ years of professional experience in AI/ML, Data Science, Applied Machine Learning, AI Engineering, or a related technical field.
• Hands-on experience designing, developing, deploying, and maintaining AI/ML solutions in enterprise or business environments.
• Strong practical experience with Microsoft Azure, including Azure AI services, Azure Machine Learning, Azure OpenAI, deployment patterns, integration approaches, and security-aware design.
• Strong working knowledge of Microsoft Fabric or similar tools, including data integration, analytics, data engineering, data science enablement, and AI/ML delivery.
• Experience contributing to AI/ML solution architecture within an Azure- and Fabric-oriented enterprise framework.
• Experience with LLM applications, RAG architectures, conversational AI, AI agents, or intelligent automation.
• Experience building backend services, APIs, data pipelines, model-serving components, or AI-powered applications using Python and relevant frameworks.
• Strong understanding of AI/ML concepts, algorithms, model development, deployment, lifecycle management, and evaluation.
• Proven ability to translate business problems into structured technical solutions and scalable implementation designs.
• Strong business analysis capability, including process understanding, requirements clarification, stakeholder alignment, value assessment, and solution scoping.
• Excellent verbal and written communication skills in English, with the ability to communicate technical concepts clearly to business stakeholders.
• Strong collaboration, ownership, accountability, curiosity, and passion for data, AI innovation, and continuous learning.

Any experience in the following will be considered a strong asset:

• Azure architecture knowledge, including Azure AI, Azure Data Factory, Azure Functions, Azure Container Apps, Azure API Management, Key Vault, Monitor, and security services
• Advanced hands-on experience with Microsoft Fabric workloads, including Lakehouse, Warehouse, Data Factory, Data Engineering, Data Science, Power BI, OneLake, and governance capabilities.
• Experience designing enterprise RAG architectures using Azure OpenAI, embeddings, vector databases, semantic search, secure retrieval, and access-controlled knowledge sources.
• Hands-on experience with Microsoft Copilot Studio, Power Platform, LLMs, and OpenAI models.
• Familiarity with modern data technologies such as Spark, Databricks, or similar platforms
• Experience with MLOps, LLMOps, CI/CD, model monitoring, prompt/model evaluation, and production AI governance.
• Experience producing solution architecture documentation, technical design documents, architecture decision records, diagrams, implementation roadmaps, or reusable technical templates.
• Experience working in global, cross-functional, matrixed organizations.

Education:

• Bachelor’s degree in computer science, Engineering, Data Science, Artificial Intelligence, Mathematics, Statistics, or another STEM discipline.
• Master’s Degree or higher in Data Science, Machine Learning, Artificial Intelligence, Computer Science, Engineering, or a related field is considered a strong plus.

Work Conditions:

• Up to 10% travel required; includes some international travel, as needed
• Due to time zone difference and appropriate meeting times, flexible work hours may be required