As a Senior Data Scientist - AI Operations, you will play a critical role in driving the stability, scalability, and continuous improvement of production AI and GenAI applications. You will lead complex operational initiatives across application enhancements, customer onboarding, release management, compliance activities, and stakeholder engagement. This role requires strong technical expertise in modern AI technologies, the ability to manage strategic customer relationships, and the leadership skills to guide operational excellence across a growing portfolio of AI solutions.
• Lead enhancement, maintenance, and optimization efforts for existing AI and GenAI applications.
• Drive resolution of complex production issues, root cause investigations, and performance improvements.
• Lead customer onboarding activities and ensure successful adoption of AI solutions for new clients.
• Design, develop, validate, and enhance machine learning and GenAI-based solutions.
• Oversee release planning, deployment activities, production readiness reviews, and post-release support.
• Support AI governance, audit, security, risk, and compliance initiatives.
• Partner with product, engineering, and business stakeholders to define priorities and deliver customer-focused solutions.
• Manage customer communications, set expectations, and provide technical guidance during critical initiatives.
• Identify opportunities for automation, operational efficiency, and process improvements.
• Mentor junior team members and provide leadership across AI Operations initiatives.
• Evaluate and adopt emerging AI technologies, frameworks, and best practices to improve platform capabilities.
• Generative AI Expertise: Strong understanding of LLMs, LangChain, LangGraph, Agentic AI, RAG architectures, orchestration frameworks, and AI solution lifecycle management.
• Machine Learning: Proven experience developing, evaluating, deploying, and supporting ML solutions in production environments.
• Python: Advanced proficiency in Python for AI/ML development, automation, and operational support.
• Data Analysis & SQL: Strong analytical and troubleshooting skills with complex data environments.
• AI Operations: Experience managing production AI applications, release processes, monitoring, and operational excellence initiatives.
• Compliance & Governance: Understanding of AI governance, security, privacy, risk management, and regulatory requirements.
• Stakeholder Management: Proven ability to manage customer relationships, align expectations, and influence outcomes across multiple teams.
• Communication & Leadership: Strong written and verbal communication skills with the ability to explain complex technical concepts and mentor team members.
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
Skills Required
- 6–9 years of professional experience
- Strong expertise with LLMs, LangChain, LangGraph, Agentic AI, RAG architectures, orchestration frameworks, and AI solution lifecycle management
- Experience developing, evaluating, deploying, and supporting machine learning solutions in production
- Advanced Python proficiency for AI/ML development, automation, and operational support
- Strong data analysis and SQL skills in complex data environments
- Experience managing production AI applications, release processes, monitoring, and operational excellence initiatives
- Understanding of AI governance, security, privacy, risk management, and regulatory requirements
- Ability to manage customer relationships, align expectations, and influence outcomes across multiple teams
- Strong written and verbal communication skills
- Leadership and mentoring abilities
Wolters Kluwer Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wolters Kluwer and has not been reviewed or approved by Wolters Kluwer.
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Leave & Time Off Breadth — Time away benefits are positioned as broad, spanning vacation and sick time plus paid holidays and other covered leave types. Paid parental and caregiver leave, bereavement leave, and a volunteer day contribute to a more comprehensive time-off offering.
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Retirement Support — Retirement support is framed as meaningful through access to a 401(k)/retirement plan paired with company matching and additional contribution features in some descriptions. This is reinforced by mentions of profit sharing and other long-term savings-oriented programs.
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Parental & Family Support — Family-oriented support stands out through adoption assistance and paid parental leave provisions. These benefits are described alongside other caregiver supports that extend beyond basic leave categories.
Wolters Kluwer Insights
What We Do
Wolters Kluwer (www.wolterskluwer.com) is a global leader in information services and solutions for professionals in the health, tax and accounting, risk and compliance, finance and legal sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services. Founded in 1836 and headquartered in Alphen aan den Rijn, the Netherlands, the company serves customers in over 180 countries, maintains operations in over 40 countries and employs 18,600 people worldwide. Wolters Kluwer reported 2019 annual revenues of €4.6 billion. Listed on Euronext Amsterdam, Wolters Kluwer shares (WKL) are included in the AEX and Euronext 100 indices. Wolters Kluwer has a sponsored Level 1 American Depositary Receipt program. The ADRs are traded on the over-the-counter market in the U.S. (WTKWY).
