Wolters Kluwer · 2 hours ago
VP, AI Engineering and Applied Research
Wolters Kluwer is seeking a VP of AI Engineering and Applied Research to lead the strategy and development of advanced Generative AI capabilities. This role involves driving innovation in AI-powered products, managing a high-performing team, and ensuring the delivery of scalable AI solutions aligned with business objectives.
BankingFinanceInformation ServicesInformation TechnologyLegalMobilePublishingSoftware
Responsibilities
Support and execute the AI strategy, with a focus 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 of 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, engineering, product owners, UX and subject matter experts, to bring a working testable solution to customers partners to accelerate 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
Qualification
Required
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
Preferred
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
Company
Wolters Kluwer
Wolters Kluwer is an information services company specializing in software solutions and services for the healthcare and legal sectors.
H1B Sponsorship
Wolters Kluwer has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (94)
2024 (22)
2023 (23)
2022 (10)
2021 (3)
Funding
Current Stage
Public CompanyTotal Funding
$1.78B2025-06-23Post Ipo Debt· $578.76M
2025-03-13Post Ipo Debt· $542.74M
2024-03-11Post Ipo Debt· $655.84M
Recent News
Business Wire
2025-12-18
2025-12-09
Company data provided by crunchbase