VP, AI Engineering and Applied Research

VP of AI Engineering and Applied Research – Join to apply for the VP, AI Engineering and Applied Research role at Wolters Kluwer.

The VP of AI Engineering and Applied Research will support the strategy, development, and delivery of advanced Generative AI capabilities across our product portfolio. This leader will drive innovation in AI‑powered customer‑facing products, ensuring solutions are production‑ready, scalable, cost‑optimized, and aligned with the highest standards for quality, safety, and performance.

Partnering closely with the Head of the AI Platform Team, the role champions the integration of AI capabilities into our platform, enabling seamless adoption across all products. The successful candidate manages a high‑performing team of AI experts, oversees end‑to‑end delivery of AI solutions, and collaborates with engineering, product, and operations to ensure measurable business impact.

Remote work is allowed, but an in‑office presence of at least two days per week is required if located in an office.

• Support and execute the AI strategy, focusing on Generative AI solutions for customer‑facing products.
• Partner with the AI Platform team to embed reusable, scalable AI capabilities into the core platform.
• Establish best practices for model development, deployment, monitoring, and continuous improvement.
• Grow technology partnerships with key AI technology providers.
• Work with engineering to deliver AI solutions from concept to production, ensuring scalability, reliability, and operational readiness.
• Lead advanced tuning, evaluation, and cost‑optimization strategies for large‑scale AI models.
• Ensure model safety, ethical use, and compliance with applicable regulations and policies.
• Support fast‑paced innovation initiatives in small collaborative teams with product owners, UX, and subject‑matter experts to bring a working testable solution to customers and partners, accelerating new AI‑first product development.
• Build, mentor, and retain a team of AI scientists, engineers, and specialists capable of delivering high‑impact solutions.
• Foster strong collaboration with engineering, product management, design, and operations teams to ensure AI initiatives meet business and customer needs.
• Promote a culture of experimentation, rapid prototyping, and measurable results.
• Implement robust processes for quality assurance, model governance, and performance monitoring.
• Drive adoption of hyper‑scaler AI services and cloud‑native solutions to accelerate time‑to‑market.
• Lead cost‑management initiatives to optimize AI infrastructure and usage at scale.
• Ensure compliance with AI Governance.

• 10+ years of product software engineering experience with at least 5 years in a leadership role.
• Expertise in Generative AI, including LLMs, prompt engineering, RAG, fine‑tuning, and evaluation methodologies.
• Proven track record of delivering production‑grade AI solutions in customer‑facing products, especially using LLMs.
• Strong understanding of production software engineering best practices, CI/CD, testing, observability, error handling, and security.
• Experience with cloud‑based AI services (AWS, Azure, GCP) and hyper‑scaler AI platforms (e.g., Azure OpenAI, Azure AI Services, AWS Bedrock, Google Vertex AI).
• Demonstrated ability to optimize AI model performance and costs for large‑scale deployments, especially LLMs.
• Exceptional communication and cross‑functional collaboration skills.

• 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 related field.

Applicants may be required to appear on‑site at a Wolters Kluwer office as part of the recruitment process.

Compensation – Target salary range (CA, CT, CO, DC, HI, IL, MA, MD, MN, NY, RI, WA): $203,900 - $262,150.

Seniority level:
Executive

Employment type:

Full‑time
Job function:
Engineering and Information Technology
Industries:
Software Development