Principal AI Engineer

Location: New York

##
* This is a Hybrid role requiring 2 days a week in a Wolters Kluwer office  
* The
** Principal AI Engineer
** will be a key contributor to the design, development, and delivery of advanced
** Generative AI applications
** in customer-facing products. This role requires expertise in
** agent-based AI frameworks**, as well as strong proficiency in
** evaluation, tuning, scaling, and cost management
** of production AI systems.

Working closely with the AI Platform team, the Principal AI Engineer will develop advanced AI capabilities into the company’s platform, enabling scalable adoption across the product portfolio. The engineer will champion
** best practices in quality, safety, observability, and performance**, ensuring that AI solutions deliver measurable business value.

This is a highly collaborative role that combines technical leadership, production-grade software engineering, and cross-functional engagement to accelerate the adoption of operational AI solutions.#
** Key Responsibilities**##
** AI Solution Delivery
*** Design and deliver
** production-ready AI solutions**, with a focus on generative AI and agent-based applications.
* Optimize and scale AI systems for
** latency, throughput, cost efficiency, and reliability**.
* Lead efforts on
** fine-tuning, evaluation, and monitoring
** of models in real-world environments.
* Implement
** observability frameworks
** for ongoing quality and safety validation of deployed models.##
** Platform & Architecture Contributions
*** Collaborate with the AI Platform team to
** expand AI components and services
** into the enterprise AI platform.
* Drive platform improvements that enable
** scalable adoption of generative AI
** across multiple products.
* Establish
** design patterns, architecture standards, and frameworks
** for building AI-powered solutions.##
** Best Practices & Governance*** ## Define and enforce
** best practices
** for responsible AI, covering quality, safety, fairness, and compliance supporting AI Governance
* Champion techniques for
** evaluation, benchmarking, and model lifecycle management**.
* Ensure
** secure, compliant, and cost-effective
** use of hyper-scaler AI services and cloud infrastructure.##
** Leadership & Collaboration
*** Mentor and guide AI engineers and product teams on technical approaches and implementation.
* Partner with platform and product engineering, product owners, subject matter experts, and operations teams to ensure delivery of AI solutions.
* Engage with external AI technology providers to leverage state-of-the-art advancements.#
** Qualifications**##
** Required Skills & Experience*** ### A Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Artificial Intelligence, or a related field, or equivalent professional experience.
* Proven track record of delivering
** Generative AI applications
** to production in customer-facing products.
* Expertise in
** agent-based AI frameworks** (e.g., Lang Graph, Semantic Kernel, Lang Chain, or equivalents).
* Strong background in
** production-grade software engineering**, with proficiency in Python and cloud-native development.
* Experience with
** hyper-scaler AI services** (AWS, Azure, Google Cloud) and their ecosystem of AI/ML tools.
* Expertise in
** AI model evaluation, fine-tuning, cost optimization, and observability**.
* Experience with
** MLOps, CI/CD for ML and software**##
** Preferred Skills*** ## Knowledge of
** model safety, interpretability, and alignment techniques**.
* Experience with
** multi-agent orchestration
** and advanced reasoning systems.
* Familiarity with
** compliance, privacy, and governance frameworks
** in AI applications.
* Strong communication skills to
** influence technical and non-technical stakeholders**.## Our Interview Practices
* 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…