AI Solutions Manager

Amphenol and its Affiliated Companies

13h • $130,000 - $150,000 • Hybrid

About The Position

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.

Requirements

• Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Business Technology, or related discipline.
• Experience building software systems at scale and improving data architecture including developing and integrating AI tools across engineering, sales, marketing, operations, manufacturing, quality, finance, customer service, or IT.
• Experience working with technology partners on AI development programs.
• Demonstrated experience leading enterprise-wide technology or AI initiatives.
• Experience managing technology projects and coordinating internal and external development resources.
• Experience evaluating build-versus-buy decisions and outsourced software development partnerships.
• Advanced expertise in artificial intelligence, machine learning, large language models (LLMs), intelligent agents, autonomous workflows, MLOps, vector databases, RAG systems, and enterprise AI architecture.
• Demonstrated ability to design, develop, deploy, and support production AI systems delivering measurable business outcomes.
• Experience with LLM fine-tuning, prompt engineering, model performance evaluation, monitoring, reliability, latency, cost control, and AI quality/safety assessment.
• Strong business acumen with ability to align AI investments to strategic business objectives and financial returns.
• Ability to translate business requirements into effective AI solutions and implementation roadmaps.
• Proven working manager capable of balancing hands-on technical contributions with project leadership responsibilities.
• Strong vendor management and outsourcing assessment capabilities.
• Ability to evaluate costs, risks, timelines, capabilities, and business impacts when determining AI implementation approaches.
• Excellent communication and collaboration skills across executive leadership, technical teams, and functional business groups.
• Ability to collaborate across global teams and business units.
• Strong communication skills for technical and non-technical audiences.
• Self-directed with ability to lead enterprise-wide AI initiatives through influence, hands-on contribution, and structured execution.

Responsibilities

• 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 configurators into CRM, ERP, digital catalog systems, and public-facing websites.
• Enable automated production of customer-ready outputs including drawings, BOMs, and datasheets.
• Collaborate with marketing to ensure accuracy, branding, and regulatory compliance.
• Serve as AIO's primary AI resource supporting all functional groups including engineering, operations, manufacturing, quality, supply chain, sales, marketing, finance, customer service, and IT.
• Partner with business leaders to identify high-value opportunities where AI can improve efficiency, quality, revenue growth, customer experience, and decision making.
• Work closely with internal teams and external technology partners to ensure successful implementation of AI initiatives.
• Provide leadership, mentoring, training, documentation, rollout support, and change management support during enterprise AI adoption.
• Function as a working manager by balancing hands-on AI system development with project leadership, resource planning, and vendor coordination.
• Develop datasets for enterprise LLM training including engineering data, sales inputs, marketing content, and manufacturing information.
• Build RAG pipelines ensuring AI systems reference validated engineering, commercial, manufacturing, and operational data.
• Establish data governance and security frameworks to protect IP and ensure compliance.
• Work with IT to ensure AI systems follow enterprise security, access control, data retention, and system support requirements.
• Develop and maintain an enterprise AI roadmap aligned with AIO strategic objectives.
• Continuously evaluate whether future AI initiatives should be internally developed, outsourced, partnered, or acquired based on business requirements and resource availability.
• Establish metrics to measure AI effectiveness, business value, user adoption, cost, reliability, and return on investment.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager