AI Solutions Manager

AI Solutions Manager

Amphenol Industrial Operations

Reports To:

Controller, AIO

The AI Solutions Manager will lead the development and deployment of enterprise artificial intelligence solutions across all Amphenol Industrial Operations (AIO) functions. This position serves as AIO's central AI resource, partnering with engineering, operations, manufacturing, quality, sales, marketing, finance, customer service, and information technology to identify, prioritize, and implement high-value AI initiatives. The manager will be responsible for developing AI systems that improve productivity, automate business processes, enhance decision-making, and drive business growth.

This role requires strong technical expertise in artificial intelligence, machine learning, large language models (LLMs), intelligent automation, and data-driven systems, combined with strong business acumen to align AI investments with organizational objectives and measurable business outcomes.

The individual will operate as a working manager, personally contributing to the design, development, deployment, and support of AI solutions while simultaneously leading projects, coordinating internal resources, and managing external technology partners. This role will evaluate and determine the most effective delivery approach for each AI initiative, leveraging internal resources, external partners, outsourced development, or hybrid models as appropriate to optimize speed, quality, scalability, and return on investment.

Reporting through the Information Technology organization, the manager will establish and grow AIO's AI capabilities, define enterprise AI standards and governance practices, and lead the development of future Amphenol-owned AI systems and platforms.

• Serve as the central AI/ML technical resource for all AIO functions and business units.
• Collaborate with technology partners to architect enterprise LLM platform.
• Ensure AI capabilities integrate with engineering, sales, marketing, operations, manufacturing, quality, finance, customer service, IT, and customer‑facing systems.
• Participate in cross‑functional design sessions, capturing enterprise‑wide requirements.
• Develop scalable APIs and AI services enabling LLM usage across multiple business units.
• Build internal capability for future LLM fine‑tuning, training, and lifecycle management.
• Help define, support, and execute the division AI roadmap aligned with business objectives, operational efficiency, revenue growth, and measurable return on investment.
• Evaluate AI opportunities and determine the optimal development strategy using internal resources, external partners, outsourced development teams, or hybrid approaches.
• Define enterprise standards, governance, architecture, and best practices for AI systems deployment and support.

• Automate engineering outputs including BOMs, drawings, ECNs, FAIs, validation reports, design tasks and processes including FMEAs.
• Develop AI‑driven product configurators supporting sales, marketing, distributors, and customers.
• Enable automated generation of datasheets, catalogs, application notes, and technical marketing content.
• Create intelligent website tools that guide customers through product selection with real‑time technical outputs.
• Automate manufacturing process documentation including routings, work instructions, and validation records.
• Develop conversational AI tools for CRM platforms, distributor portals, and customer service workflows.

• Build AI configurators that generate part numbers, compatibility checks, quotes, and selection recommendations.
• Integrate…