Sr Mgr, AI/ML Software Engineering

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Sr Mgr, AI/ML Software Engineering

7/9/26

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

The pace of innovation in artificial intelligence and machine learning continues to accelerate, and the Data and Devices Business Unit is at the center of this transformation. Our customers are building intelligent systems that redefine how data is processed, analyzed, and used across compute, networking, and cloud infrastructure. At TE Connectivity, we support this evolution by delivering scalable, high-quality software solutions that enable next-generation products.   We are seeking a Senior Manager, AI/ML Software Engineering, to lead the strategy, development, and deployment of AI/ML software capabilities that support next-generation products and internal engineering transformation. This leader will build and develop a high-performing organization, drive execution across multiple programs, and partner closely with engineering, product, digital, and business leaders to translate strategic priorities into measurable outcomes.   This role requires a balance of strong technical leadership, organizational leadership, and business acumen. The successful candidate will shape the AI/ML software roadmap, oversee delivery across multiple workstreams, and ensure solutions are scalable, reliable, and aligned with business objectives.   What you will be doing… As a Senior Manager, AI/ML Software Engineering, you will lead a multidisciplinary organization responsible for AI/ML software development, data-driven engineering tools, and scalable platform capabilities that support the Data and Devices Business Unit. You will define operational strategy, develop organizational capability, and drive execution across a portfolio of AI/ML initiatives with impact across multiple functions. Job Requirements

Strategic Leadership and Organizational Impact

Define and drive the AI/ML software engineering strategy in support of business and engineering priorities. Translate business needs into an actionable portfolio of AI/ML, software, and digital engineering initiatives. Lead a complex organization with multiple sub-functions or workstreams, ensuring alignment to medium and long term business objectives. Provide leadership on investments, priorities, and tradeoffs to maximize business impact, technical scalability, and operational efficiency. Partner with senior leadership to shape roadmaps, operating models, and capability plans for AI-enabled