Senior Enterprise AI Engineer - Production Ready

Springs Window Fashions

Town of Middleton (WI)

On-site

USD 140,000 - 200,000

Full time

14 days+

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Job summary

Springs Window Fashions seeks an Sr AI Engineer to lead hands‑on development of enterprise AI in production. You will own architecture, governance, and engineering practices, partnering with IT, operations, customer service, product development, and analytics to deliver AI capabilities that boost efficiency and customer experience.

The ideal candidate blends strong software engineering with deep AI expertise, delivering production‑ready solutions and mentoring engineers to raise the bar on AI

Qualifications

  • 8–10+ years overall technology experience
  • 5+ years specifically building AI/ML systems
  • Proven track record deploying AI at enterprise scale in production
  • Experience leading technical initiatives or teams
  • Strong experience with AI architecture and distributed systems
  • Hands-on experience operationalizing generative AI at scale: LLMs, RAG, copilots, and automation
  • Able to explain what you built to an executive in two sentences and to an engineer in two hundred

Responsibilities

  • Design, build, ship, and own enterprise AI and machine learning solutions in production.
  • Build and operationalize generative AI applications using LLMs, retrieval‑augmented generation, copilots, and automation.
  • Collaborate with data engineering to ensure high‑quality, governed data for AI initiatives.
  • Develop AI‑enabled analytics and predictive models for manufacturing and operations.
  • Implement AI governance, model monitoring, security, and responsible AI practices.

Skills

AI architecture
Distributed systems
Production AI
Leadership
Machine learning
LLMs / RAG
Communication

Tools

Power BI
Tableau
Azure OpenAI

Job description

Springs Window Fashions seeks an Sr AI Engineer to lead hands‑on development of enterprise AI in production. You will own architecture, governance, and engineering practices, partnering with IT, operations, customer service, product development, and analytics to deliver AI capabilities that boost efficiency and customer experience.

The ideal candidate blends strong software engineering with deep AI expertise, delivering production‑ready solutions and mentoring engineers to raise the bar on AI

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