Senior AI Engineer & Applied Researcher

Essential Duties And Responsibilities

• Develop and Deploy AI Solutions: Design and implement reliable and high-
  
  
  

performing code for AI products that deliver measurable business impact.

• Cross-Functional Collaboration: Collaborate with clinicians, product managers, and
  
  
  

software engineers to develop applied solutions from ideation to enterprise deployment

and scaling in real-world applications

• Strive for Robustness: Systematically investigate statistical and algorithmic approaches
  
  
  

to attain the level of accuracy and explainability needed in healthcare applications

• Drive Innovation: Identify, evaluate, and integrate emerging AI technologies to
  
  
  

ensure optimal solutions aligned with business value.

• Advance Research: Contribute through product innovations, intellectual property
  
  
  

or published research that integrates cutting-edge advancements.

• Foster Best Practices: Establish and uphold best practices in AI/ML, including
  
  
  

rigorous testing, validation, and documentation.

• Learn fast through hands-on rapid prototyping of 3rd party software, both commercial
  
  
  

and Open Source, and proprietary development

Other Duties

Performs other duties as assigned by supervisor.

Job Qualifications

You’re a fit for the role of AI Engineer & Applied Researcher if you have:

• A Ph.D. or master’s degree in computer science, Artificial Intelligence, or a related
  
  
  

science or engineering field is preferred; or a Bachelor’s degree with substantial

professional experience.

• 3+ years of experience developing and deploying AI/ML systems in production.
• Proven success in translating complex customer challenges into high-quality,
  
  
  

impactful AI solutions.

Advanced understanding of large language models, including best practices in

combining LLMs with search, enhancing with domain-specific content, and

evaluation.

• Proficiency in software development, encompassing version control, testing, and
  
  
  

CI/CD pipelines, with demonstrated knowledge in cloud environments such as

AWS, Azure, and GCP.

• Excellent analytical and communication skills, with the ability to convey complex
  
  
  

technical information to cross-functional stakeholders.

• A results-driven mindset with a focus on delivering scalable, maintainable, and
  
  
  

impactful solutions.

Preferred Qualifications

The following is highly desired, but not required:

• Experience in healthcare
  
  
  

Travel Requirements

Up to 10% travel might be needed

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.