AI Solutions Engineer (Internal Agents & Workflow Automation, Remote, USA)

APPLICATION WINDOW: We encourage you to apply if interested. We will review applications on a rolling basis and keep candidates informed on next steps. We recognize that job searching can sometimes feel uncertain. As we engage with candidates and continue to evaluate our needs, this role may evolve to ensure strong alignment between the opportunity, the market, and long-term success. We are committed to a thoughtful and transparent process and will keep candidates informed along the way. Thank you for considering M-Files as your next career move. Who We Are M-Files is redefining how work gets done. Our context-first document management system offers purpose-built business use cases—spanning universal and industry-specific workflows—to enable secure collaboration, automate processes, and ensure governance. Unlike traditional systems, M-Files organizes content around the context of your business, connecting documents to related people, projects, and transactions. With our unique metadata-driven architecture, organizations can model content in line with their business processes, unify information across silos, and apply AI at scale. The result is greater productivity, reduced risk, and smarter, faster decisions for over 6,000 customers in 100+ countries. At M-Files, our Guiding Principles unite us across diverse cultures and personalities: Make It Happen – We set bold goals, take ownership, learn from mistakes, and relentlessly pursue results. Help Others – We lead with kindness, assume good intentions, hold one another accountable, and celebrate wins together. Love Customers – We put customers and partners at the heart of everything, delivering value with respect, fairness, and speed. To learn more about us we encourage you to visit our company page . To learn more about how we became a Certified Great Place to Work visit, Working at M-Files | Great Place to Work . Summary of the Role M-Files is building a company-wide capability to operationalize AI, turning promising LLM prototypes into secure, reliable, maintainable internal tools that materially improve how teams work. This role sits within the Internal AI Solution Development team and functions as a hands-on builder, partnering with business leaders across Sales, Marketing, Revenue Operations, Customer Success, and other business functions to identify high-value workflows that can be accelerated with AI, reshape the underlying processes where needed, and build, deploy, and operate AI-enabled solutions end-to-end. This is not a traditional product software engineering role, nor is it a RevOps analytics role. Instead, it is an execution-oriented AI engineering role embedded in the business. You’ll move quickly from problem definition to production, building intelligent agents and workflow automations while applying the appropriate security, governance, risk controls, and compliance expectations required for internal systems at scale. You will leverage AI-assisted development tools as part of your daily workflow to accelerate delivery while maintaining quality, reliability, and long-term maintainability. Success in this role comes from understanding how people work, redesigning processes where appropriate, and building AI-powered solutions that teams genuinely adopt, not simply delivering technical prototypes. What You Will Be Doing / Responsibilities and Duties Discover & Shape High-Value AI Opportunities Partner with functional leaders across Sales, Marketing, Revenue Operations, Customer Success, and other business functions to identify workflows where AI can remove friction, reduce cycle time, improve accuracy, or strengthen compliance. Map the current-state process, identify bottlenecks and failure modes, and redesign the process to be automation-ready by clarifying inputs, outputs, decision points, data sources, controls, and ownership. Define success metrics such as time saved, error reduction, throughput, adoption, and auditability, and translate business goals into a