The company is looking to support the strategy, development, and delivery of advanced Generative AI capabilities across its product portfolio, driving innovation in AI-powered customer-facing products and ensuring solutions are production-ready, scalable, cost-optimized, and aligned with high standards for quality, safety, and performance.
Requirements
- 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.
- Knowledge of AI governance, responsible AI frameworks, and ethical AI practices.
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.
- 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.
- Drive adoption of hyper-scaler AI services and cloud-native solutions to accelerate time-to-market.
Other
- 10+ years of product software engineering experience with at least 5 years in a leadership role.
- Exceptional communication and cross-functional collaboration skills.
- The person in this role can be remote but is expected to be in the office at least 2 days a week if in an office location.
- Experience working in regulated industries or managing sensitive data (e.g. PII, PHI).
- Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
