Lead Enterprise Engineer (AI / Artificial Intelligence)

About the Role: As a Lead Enterprise Software Engineer, you will independently execute sophisticated software development tasks. Your expertise will drive the creation of robust end-user applications and tools, ensuring seamless integration and optimal performance in critical business domains.

Responsibilities:

• Lead the design and development of intricate software applications.
• Ensure code quality through rigorous code reviews.
• Develop troubleshooting strategies for complex issues.
• Conduct comprehensive performance testing and tuning.
• Create and update extensive technical documentation.
• Oversee the implementation of new technologies and methodologies.
• Provide technical mentorship to junior engineers.
• Ensure successful deployment and configuration of software systems.
• Collaborate on architectural and design decisions.
• Lead initiatives for continuous improvement in software processes.

Required Skills:

• Strong Python programming and DevOps
• Strong AI aptitude and heavy exposure to generative and agentic AI projects.
• Agentic AI is our main focus at the moment, but with AI things change on a fast cadence
• Experience including AI tooling for specification driven development and QA
• API programming
• Automation programming
• Solid exposure and understanding of AWS and/or Azure (preferably both)
• Solid exposure to IaC, preferably via Terraform
• Thought leader
• Strong communication (team, management, and stakeholders)
• Recent relevant industry certifications strongly desired (AI, Python, Cloud, etc.). Note that yearly certifications for FTE Engineers is a requirement.
• This role doesn’t have direct reports, but is expected to be able to understand our vision and direction and help lead and mentor the team from an Engineering perspective

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 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.