Description Job Summary Springs Window Fashions is a leader in the custom window treatment industry since 1939. Headquartered in Middleton WI, we have 6,000 associates with locations in North America, Europe, and Asia. O…
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Other
bachelor degree, postgraduate degree
Posted 18d ago
Apply by Jul 21
~40 hrs/week
Responsibilities
Design, build, and operationalize production-ready AI solutions and pipelines to improve enterprise efficiency and customer experience. Collaborate with cross-functional teams to translate business problems into working prototypes and scalable AI capabilities.
Requirements
Requires 5+ years of experience in software, ML, or AI development with a proven track record of shipping production-level generative AI solutions. Proficiency in Python, modern AI frameworks, and cloud platforms is essential.
Full job description
Description
Job Summary
Springs Window Fashions is a leader in the custom window treatment industry since 1939. Headquartered in Middleton WI, we have 6,000 associates with locations in North America, Europe, and Asia. Our custom window treatments are available under the Bali, Graber, SunSetter and Mecho brands in nearly every major retailer, in thousands of designer showrooms, and showcased in large commercial buildings.
Our company has made significant investments to become a leader in product innovation. As North America’s premier window covering company, we’re committed to creating a “Best Experience” for our consumers, channel partners and associates. We are bringing new innovations to the market at an accelerated pace and have a variety of offerings to consumers who want to improve their home décor.
This is an engineering role, not a research role. The AI Engineer is a hands-on builder who designs, ships, and operationalizes AI solutions that go live across the organization and accelerate Springs Window Fashions' enterprise AI strategy. You will write the code, stand up the pipelines, and get real systems into production—partnering directly with Information Technology, business stakeholders, operations, customer service, product development, and analytics teams to deliver AI capabilities that measurably improve efficiency, elevate customer experiences, and sharpen decision making.
The ideal candidate is a software engineer first who happens to be obsessed with AI, pairing strong engineering fundamentals with hands-on command of machine learning, generative AI, data engineering, automation, and cloud technologies. You move fast and iterate in the open, treating a rough prototype that works as more valuable than a polished plan that doesn't. You thrive in a fast-paced, transformation-oriented environment and consistently turn business problems into production-ready AI solutions rather than pilots that stall in a notebook.
Key Responsibilities
Write, test, and ship real AI and machine learning code that makes it into production, with support from senior engineers.
Build features for generative AI applications—LLMs, RAG, copilots, and automation—that real people across the business actually use.
Help translate business problems into working prototypes and features, learning the domain and the trade-offs as you go.
Build and maintain AI pipelines, APIs, and integrations, then improve them based on real feedback.
Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for AI initiatives.
Develop AI-enabled analytics and predictive models supporting manufacturing, supply chain, customer service, sales, and operations.
Follow AI governance, security, and responsible-AI practices, and help monitor models running in production.
Help optimize model performance, scalability, reliability, and operational efficiency.
Explore new AI tools and techniques, and bring fresh ideas and honest assessments back to the team.
Prototype ideas quickly—failing fast, learning faster, and turning experiments into working demos.
Create technical documentation, operational procedures, and knowledge transfer materials.
Write clean, well-tested code and take part in code reviews to sharpen your craft.
Pair with senior engineers to learn how enterprise AI systems are designed, shipped, and kept running.
Grow fast—soak up feedback, ask sharp questions, and share what you learn with the team.
Requirements
Required Education/Experience
5+ years building real software in engineering, machine learning, data engineering, or AI development
Hands-on experience shipping machine learning and generative AI solutions into production, not pilots that stalled in a notebook
Fluent in Python and modern AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face
Comfortable building on cloud platforms such as Microsoft Azure, AWS, or Google Cloud
Experience wiring AI solutions into real enterprise systems and APIs
Solid grasp of AI governance, model lifecycle management, and security best practices
Sharp analytical and problem-solving instincts, and the ability to explain your work to an executive in two sentences and to an engineer in two hundred
Comfortable delivering in fast Agile cycles, iterating in the open rather than waiting for perfect.
Preferred Experience
Experience with Microsoft Copilot, Azure OpenAI, or enterprise generative AI platforms.
Manufacturing, supply chain, consumer products, or retail industry experience.
Experience with MLOps, vector databases, orchestration frameworks, and AI observability platforms.
Familiarity with data visualization and analytics platforms such as Power BI or Tableau.
Experience leading enterprise AI transformation initiatives.
Knowledge, Skills & Abilities
Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
Advanced degree in Artificial Intelligence, Machine Learning, or Data Science is a plus—but we care far more about what you have shipped than what you have studied.
How We Work to Deliver a Best Experience: Our Culture
Our Core Value: We do the right thing, always
Highly valued leadership skills include:
Empowerment: Encourages innovation and continuous learning. Enables cross-functional collaboration and technical experimentation.
Ownership: Owns solutions end to end: if it breaks, you fix it; if it works, you make it better. Delivers secure, scalable, business-aligned AI with real urgency and strong execution discipline.
Leadership: Influences technical direction and promotes enterprise AI adoption. Communicates effectively with both technical and non-technical stakeholders.
One Springs Team: Collaborates across departments to drive shared business outcomes. Builds strong relationships and trust across the enterprise.
Continuous Innovation: Stays ahead of emerging AI trends and tools, separating genuine advances from hype. Relentlessly improves AI capabilities, automation, and operational maturity.
Speed: Ships iterative value through rapid build-and-deploy cycles, often turning a new technique into a working prototype within days. Balances that speed with the operational stability and governance an enterprise requires.
Our tagline is “the Best Experience Company.” And it’s more than just a set of words—it represents the essence of who we are. As North America’s premier window covering company, we’re committed to creating the Best Experience for our associates and team members, our consumers and end users, and our channel and business partners.
Setting the bar so high means our work is never done. We’re always improving every aspect of our business. With the full support of senior leadership and private ownership, we’re making significant investments to deliver the Best Experience.
Our products are available in nearly every major retailer and in thousands of design showrooms. It’s likely you’ve seen our products in large office buildings, small businesses, and maybe even your own home. Our brands include Bali, Graber, SWFcontract, Horizons, Mecho, and more.
Springs Window Fashions’ innovative, high-quality products and best-in-class service are designed to delight homeowners and clients every step of the way.
Offices: 7549 Graber Road, Middleton, Wisconsin 53562, US · 4203 35th St, Long Island City, NY 11101, US · Edison, NJ 08817, US · McAllen, TX 78503, US · Montgomery, PA 17752, US
Based on 1240 listings with disclosed salaries, most manufacturing jobs in Wisconsin pay between $64k–$142k per year. Individual offers vary with seniority, company size, and specialization.
How many Manufacturing jobs are open in Wisconsin right now?
There are currently 9,905 open manufacturing positions in Wisconsin listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Manufacturing roles in Wisconsin?
Companies currently hiring include Generac, Catalent, Oshkosh Delivery, Eaton, Milwaukee Tool, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Manufacturing jobs in Wisconsin?
Yes — 699 of the 9905 open manufacturing positions offer remote or hybrid work (134 remote, 565 hybrid).
How do I apply for Manufacturing jobs in Wisconsin?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.