AI Solutions Engineer
About the role
We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what’s possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what’s next to power infinite possibilities for our customers, colleagues and society at large. Wiley Research is building new AI-powered capabilities across its operations — but the gap between deploying enterprise AI tools and genuinely changing how the business works remains large. Closing that gap requires someone who can move between business problem and technical solution: a developer who understands what the business needs, knows how to build it, and can deliver working tools quickly enough to prove their value before momentum is lost. The Engineer, Business Solutions is that person. Working within the Business Management & Strategic Programs team, this role designs, builds, and deploys AI-powered tools and workflow automations that address real operational problems identified by the BMSP team and its partners across Research. The focus is on practical impact: automations that reduce manual effort, AI-assisted tools that improve decision quality, integrations that connect systems that currently require human intermediation, and rapid prototypes that let business teams test new approaches before committing to them at scale. This role operates at the core of the BMSP team's crew model — working in 90-day sprints alongside the Associate Directors and Project Manager to identify problems, build solutions, and release them to the business. The developer is the technical engine of that model: the person who takes a well-scoped problem from the team and turns it into a working tool in weeks, not quarters. Speed, pragmatism, and business empathy are as important here as technical skill. The right candidate is a developer who is genuinely excited about the intersection of AI and business operations — someone who finds as much satisfaction in solving a workflow problem for a publishing team as in writing clean code. They are comfortable working with non-technical stakeholders, translating vague business needs into defined requirements, and explaining technical trade-offs in plain language. They bring strong hands-on experience with LLM APIs, automation