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VP, AI Engineering and Applied Research

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: Wolters Kluwer
Full Time position
Listed on 2026-01-06
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 262150 USD Yearly USD 262150.00 YEAR
Job Description & How to Apply Below

Employer Industry: Technology and Artificial Intelligence

Why consider this job opportunity
  • Salary up to $262,150
  • Opportunity for career advancement and growth within the organization
  • Flexibility to work remotely with an expectation of being in the office at least 2 days a week
  • Lead and mentor a high-performing team of AI experts
  • Drive innovation in AI-powered customer-facing products
  • Collaborate with cross-functional teams to ensure measurable business impact
What to Expect (Job Responsibilities)
  • Support and execute the AI strategy, focusing on Generative AI solutions for customer-facing products
  • Partner with the AI Platform team to integrate scalable AI capabilities into the core platform
  • Oversee the end-to-end delivery of AI solutions, ensuring scalability, reliability, and operational readiness
  • Foster collaboration with engineering, product management, and design teams to meet business and customer needs
  • Implement robust processes for quality assurance, model governance, and performance monitoring
What is Required (Qualifications)
  • 10+ years of product software engineering experience, with at least 5 years in a leadership role
  • Expertise in Generative AI, including LLMs, prompt engineering, and evaluation methodologies
  • Proven track record of delivering production-grade AI solutions in customer-facing products
  • Strong understanding of production software engineering best practices, including CI/CD and security
  • Experience with cloud‑based AI services and hyper‑scaler AI platforms
How to Stand Out (Preferred Qualifications)
  • Experience working in regulated industries or managing sensitive data (e.g., PII, PHI)
  • Knowledge of AI governance, responsible AI frameworks, and ethical AI practices
  • Advanced degree (MS/PhD) in Computer Science, AI/ML, engineering, or a related field
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