Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world’s largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive global presence in research and development, manufacturing, and sales. We design and manufacture a wide range of innovative connectors as well as cable assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and automotive.

Position:

Senior AI Software Engineer

Location:

Etters, PA

Amphenol High Speed Products Group is the market leader for high-speed, high-bandwidth electrical connectors, cables, and systems for the Datacom/Telecom market (AI, ML, GPUs, Servers, Switches, Routers, Storage). Our products help to enable the artificial intelligence revolution by helping major Tier 1 Hyperscale Data Centers, their OEMs and break-out AI customers to innovate globally. Our global headquarters is in Nashua, NH and we have engineering, sales, and manufacturing locations globally. We are establishing a new AI engineering capability within our NPI (New Product Introduction) organization and are seeking a Senior AI Software Engineer as a founding technical hire.

Responsibilities

The Senior AI Software Engineer will own the architecture and delivery of secure, production-ready AI applications that improve engineering workflows, including cost modeling, capacity analysis, knowledge retrieval, and stage-gate support. The engineer will partner closely with the Data & Business Analyst, NPI domain experts, enterprise data teams, and IT/security to move from prototypes to maintainable products with rigorous evaluation, human oversight, observability, and access controls. The successful candidate will set the technical roadmap and engineering standards while remaining deeply involved in design, coding, testing, and deployment.

Key Responsibilities

AI Application & Agent Development

Design, build, test, and deploy production-quality AI applications and agents using approved commercial or open-source models, tool/function calling, and workflow-orchestration patterns
Build retrieval-augmented generation (RAG) services and a governed NPI knowledge layer that provide traceable access to standards, lessons learned, cost models, and project history
Develop specialist agents and deterministic workflow components for prioritized NPI use cases, with human review and clear escalation paths for high-impact decisions
Create automated evaluation, testing, guardrail, monitoring, and cost-management practices to measure accuracy, reliability, security, latency, and business impact

Data & Enterprise Integration

Partner with enterprise data and system owners to connect AI applications to approved sources such as PLM, ERP, MES, SharePoint, demand systems, and factory/test data
Design and implement secure APIs, services, connectors, and data contracts that support reliable retrieval, workflow execution, auditability, and maintainability
Implement role-based access, data scoping, secrets management, logging, and privacy controls so users and agents access only authorized information

Technical Leadership & Delivery

Own the target architecture, technical roadmap, and build-versus-buy decisions for the NPI AI application ecosystem and knowledge platform
Establish practical engineering standards for source control, code review, automated testing, CI/CD, documentation, observability, incident response, and reusable components
Lead technical discovery and delivery planning with the Data & Business Analyst and engineering domain experts; translate workflows into scoped increments, estimates, and acceptance criteria
Mentor engineers and technical contributors, communicate tradeoffs to stakeholders, and build a sustainable operating model as the capability grows

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field, or equivalent practical experience
7+ years of software engineering experience, including architecture and delivery of reliable production applications or services
Hands-on experience building and operating LLM-powered or agentic applications, including model APIs, tool/function calling, prompt design, RAG, and systematic evaluation
Strong proficiency in Python, C#, Java, or a similar modern language, with experience designing APIs, services, data models, and integrations
Experience with production engineering practices such as automated testing, CI/CD, source control, observability, secure development, and operational support
Experience integrating enterprise data sources and building data pipelines, connectors, webhooks, or event-driven workflows; working knowledge of SQL and data-quality practices
Demonstrated technical leadership, sound architectural judgment, and the ability to balance rapid experimentation with maintainability, security, and business risk
Strong communication and collaboration skills, including the ability to explain complex technical choices to engineering, business, data, and security stakeholders
Ability to travel occasionally, up to 10% of the time

Preferred Qualifications

Experience in manufacturing, engineering, or NPI environments and familiarity with PLM, ERP, MES, cost modeling, capacity planning, or stage-gate processes
Experience with enterprise knowledge systems, vector search, cloud AI platforms, identity and access management, or deploying AI applications in governed environments

Amphenol Corporation is proud of our reputation as an excellent employer. Our focus is to provide the highest level of support and responsiveness to both our employees and our customers, the world's largest technology companies. Amphenol Corporation offers the opportunity for career growth within a global organization. We believe that Amphenol Corporation is unique in that every employee, regardless of his or her position, has the ability to positively impact the business.

Amphenol is an “Equal Opportunity Employer” - Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity/National Origin. For additional company information please visit our website at https://www.amphenol-cs.com/

Job description