**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., LangGraph, Semantic Kernel, LangChain, 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 .
Benefits:
A comprehensive benefits package that begins your first day of employment.