VP of AI Engineering managing Generative AI capabilities for Wolters Kluwer's product portfolio. Driving innovation in AI-powered customer-facing products with a high-performing team.
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 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, and subject matter experts to bring a working testable solution to customers.
Requirements
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.
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