Senior AI Software Architect for NPI & Data Systems

Amphenol ICC

Yocumtown (PA)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Amphenol ICC is seeking a Senior AI Software Engineer in Etters, PA to lead the architecture and delivery of secure, production-ready AI applications that enhance engineering workflows. You will collaborate with Data & Business Analysts, NPI domain experts, and IT/security to move prototypes into maintainable products with strong oversight and observability.

The role requires senior software engineering experience, hands-on work with LLM-powered applications, and leadership to shape the

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or 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.

Responsibilities

Own the architecture, technical roadmap, and build-versus-buy decisions for the NPI AI application ecosystem.
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 data and engineering 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.
Design, build, test, and deploy production-quality AI applications and agents using models, tool calling, and workflow patterns.
Create automated evaluation, testing, guardrails, monitoring, and cost-management practices.