Director, AI-Driven Product Engineering

Wolters Kluwer

Montpelier (VT)

On-site

USD 179,000 - 320,000

Full time

4 days ago

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Job summary

Wolters Kluwer seeks a Director, Product Software Engineering - AI to lead strategy, development, and delivery of AI-powered software solutions. You will build high-performing teams and partner with Product, Architecture, and business stakeholders to solve complex customer problems.

This role demands deep technical leadership, cloud-native architecture, and governance of AI initiatives. You will drive modern engineering practices, mentor leaders, manage budgets, and shape the future of Firm

Qualifications

Bachelor's degree or higher in CS/Engineering or related field.
10+ years of software engineering experience with progressive leadership responsibility.
5+ years leading engineering managers and multiple software engineering teams.
Experience delivering cloud-native software products on Azure/AWS/Google Cloud.
Strong understanding of modern software architecture, APIs, DevOps, CI/CD, automation, and Agile delivery.
Experience leading teams building AI-enabled products.
Familiarity with LLMs, RAG, agentic workflows, and AI governance.
Experience using AI development tools (GitHub Copilot, Cursor, etc.).
Customer-centric product development and co-design experience.
Experience driving engineering strategy within a matrixed enterprise.

Responsibilities

Define and execute the engineering vision, strategy, and roadmap for Firm Intelligence products and platforms.
Lead multiple engineering teams and managers, ensuring alignment with business objectives and product strategy.
Drive organizational transformation through modern engineering, cloud, automation, and AI capabilities.
Establish engineering standards, development frameworks, and best practices that improve quality, speed, and scalability.
Champion the adoption of AI-enabled software development and intelligent product capabilities.
Partner with Product Management to identify opportunities where AI and analytics create value.
Guide architectural decisions involving cloud-native apps, APIs, and AI-powered solutions.
Foster a culture of experimentation, rapid learning, and continuous improvement.
Collaborate with customers, product leaders, and stakeholders to translate challenges into tech solutions.
Ensure teams deliver measurable outcomes and use data to drive decisions.
Build, develop, and retain high-performing engineering leaders and teams.
Coach managers and senior engineers through mentorship and career development.
Create an inclusive, collaborative culture that encourages innovation and accountability.
Manage budgets, resource planning, and priorities to support growth.