Senior AI Engineer
Springs Window Fashions2 months ago
Middleton, WI, USASenior
Responsibilities
- Design, build, deploy, and own enterprise AI and machine learning solutions in production.
- Build and operationalize generative AI applications using LLMs, retrieval-augmented generation, copilots, and intelligent automation.
- Develop scalable AI pipelines, APIs, and integrations with enterprise platforms and business applications.
- Partner with business leaders and cross-functional teams to identify and prioritize high-value AI use cases.
- Collaborate with data engineering teams to ensure governed, accessible, and high-quality data for AI initiatives.
- Develop AI-enabled analytics and predictive models for manufacturing, supply chain, customer service, sales, and operations.
- Implement AI governance, model monitoring, security, and responsible AI practices.
- Optimize model performance, scalability, reliability, and operational efficiency.
- Evaluate emerging AI tools and recommend appropriate enterprise adoption.
- Create technical documentation, operational procedures, and knowledge-transfer materials.
- Mentor engineers by building alongside them and improve organizational AI engineering practices.
- Lead rapid experimentation, prototyping, and enterprise AI transformation initiatives.
Requirements
- 8–10+ years of overall technology experience.
- 5+ years specifically building AI/ML systems.
- Proven experience deploying AI at enterprise scale in production rather than stopping at prototypes or notebook pilots.
- Experience leading technical initiatives or teams through influence and technical leadership.
- Strong experience with AI architecture and distributed systems.
- Hands-on experience operationalizing generative AI at scale, including LLMs, RAG, copilots, and automation.
- Ability to communicate technical work effectively to both executives and engineers.
- Preferred experience with Microsoft Copilot, Azure OpenAI, or enterprise generative AI platforms.
- Preferred experience in manufacturing, supply chain, consumer products, or retail.
- Preferred experience with MLOps, vector databases, orchestration frameworks, and AI observability platforms.
- Familiarity with Power BI or Tableau.
- Preferred experience leading enterprise AI transformation initiatives and building internal AI platforms or copilots.
- Familiarity with AI governance frameworks, FinOps for AI workloads, and multi-cloud AI strategy.
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