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:

1. Make It Happen – We set bold goals, take ownership, learn from mistakes, and relentlessly pursue results.
2. Help Others – We lead with kindness, assume good intentions, hold one another accountable, and celebrate wins together.
3. 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 clear build plan.

Build Internal AI Agents & Automation Tools (End-to-End Ownership)

• Design and implement internal agents and agentic workflows using modern LLM patterns, including tool use/function calling, retrieval-augmented generation where needed, structured outputs, orchestration, and human-in-the-loop checkpoints.
• Build whole-product solutions including lightweight UX, service/API layers, integrations, data access, automation triggers, and connections into business systems such as CRM, marketing automation, customer success platforms, and other internal applications as appropriate to the use case.
• Integrate systems through APIs, authentication, structured data formats, and webhooks to enable agents to reliably read data and trigger actions.
• Use AI-assisted development techniques to speed delivery while sustaining maintainability, readability, and quality.

Operate, Maintain & Scale (Production Mindset)

• Own reliability, including monitoring, alerting, logging, incident response, and continuous improvement.
• Establish repeatable patterns for onboarding new workflows and scaling existing ones through templates, shared components, evaluation harnesses, and documentation.
• Create and maintain runbooks and lightweight training so internal teams can confidently adopt and use solutions.

Risk, Control, Oversight, Security & Compliance by Design

• Implement appropriate guardrails including data minimization, access controls, secrets management, safe prompt and tooling patterns, output validation, and traceability.
• Ensure solutions meet internal security and compliance expectations, including audit readiness, change management discipline, clear ownership, and relevant data privacy and consent requirements.
• Maintain clear documentation of how systems work, what data they access, and how associated risks are mitigated.

Cross-Functional Coordination

• Coordinate across Business Technology, IT/Security, Legal/Privacy, and functional subject matter experts to design, approve, deploy, and drive adoption of AI-enabled solutions across the business.
• Communicate progress through clear, concise updates and manage tradeoffs between speed and rigor.

Outcomes to Be Achieved

• A portfolio of high-impact internal AI agents deployed into real business workflows, including Sales, Marketing, Revenue Operations, and Customer Success, with measurable business outcomes.
• A scalable operating model for internal AI, including reusable components, clear governance, and a predictable path from idea to production.
• Reduced process friction through AI and thoughtful process redesign, not AI bolted onto broken workflows.
• High trust in outputs through appropriate controls, auditability, and operational reliability.

Requirements

Required Qualifications

• Demonstrated ability to build and maintain end-to-end software from design through build, deployment, and ongoing operation, with strong engineering fundamentals.
• Proficiency in at least one modern programming language such as Python, TypeScript, C#, or Node.js, with comfort learning additional technologies as needed.
• Practical experience integrating systems via APIs, authentication, and structured data formats.
• Strong ability to work with non-technical stakeholders, translate ambiguous problems into clear specifications, iterate quickly, and drive adoption.
• Familiarity with one or more business functions such as Sales, Marketing, Revenue Operations, or Customer Success, and an interest in designing AI solutions that improve how those teams work.

GTM Domain Context We Value

• Experience integrating business or GTM systems through APIs and webhooks, including CRM, marketing automation, sales engagement, customer success/support platforms, ERP, or similar enterprise applications.
• Familiarity with how GTM workflows and data operate across areas such as leads, accounts, opportunities, activities, customer engagement, and support processes.
• Comfort working with marketing, sales, and customer data, including considerations around data quality, enrichment, privacy, and consent.

Technical Foundations We Value

• Experience building cloud-based services and applying strong engineering practices such as CI/CD, source control, test automation, and operational monitoring.
• Comfort with secure and scalable platform concepts including networking, identity, secrets management, and infrastructure automation.
• Experience or strong interest in AI-assisted development as part of daily engineering practice.

LLM / Agent Capabilities (Core to This Role)

• Hands-on experience building LLM-powered tools and agents, including prompting, tool use/function calling, retrieval where appropriate, agent orchestration frameworks, and evaluation/quality approaches.
• Ability to design safe and predictable AI systems through validation, fallbacks, human-in-the-loop approaches, and clear failure handling.

Preferred

• Familiarity with enterprise security and compliance expectations, including access controls, audit trails, change management, and data governance.
• Experience modernizing processes with a Lean or operational-improvement mindset and designing systems that align with how teams actually work.
• Experience building internal tools that drive adoption across multiple business or GTM functions.

Working Style / What Success Looks Like Here

• You are low ego, high output: you can operate independently while collaborating naturally and bringing others along.
• You can move fast without being reckless: you understand where to be scrappy and where additional rigor is required.
• You care about outcomes: automation only matters if it meaningfully changes how people work and improves the metrics that matter.

Participation in our Recruitment Process:

• To Be Determined
• Typical interview processes including initial screening w/ a Recruiter, meeting with Hiring Manager (VP, Commercial Operations & Technology), and other internal team members the role may closely interact with

Benefits

By joining M-Files, you will have the opportunity to contribute to our success and growth while developing your own expertise and helping build the AI capability that changes how our teams work every day.

M-Files is a global company with Finnish roots, built around a product we are proud of.

Our guiding principles, Make It Happen, Help Others, Love Customers, are reflected in how we work every day, with transparency and strong team spirit at the core of our culture.

What We Offer: 

• As remote enabled company our employees enjoy the flexibility to establish their own life/work balance
• Matching 401K Plan (25% of employee's contribution up to the IRS max)
• Health insurance (PPO and HDHP/HSA plans offered)
• Dental insurance
• Vision insurance
• Life insurance (1x employee salary)
• Short-term disability (employer paid)
• Long-term disability (employer paid)
• Flexible Spending Plan (medical and dependent)