AI Solutions Engineer – Internal Agents, Workflow Automation

M-Files

AI Solutions Engineer building secure internal AI agents and workflow automation for M-Files, a context-first document management platform. Partnering with business teams to deploy reliable solutions.

Posted 8/10/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining end-to-end software solutions, integrating systems through APIs, and implementing AI-assisted development techniques while ensuring security and compliance. Proficient in collaborating with cross-functional teams to translate business goals into actionable plans and drive the adoption of AI technologies.

Highest-signal resume keywords

End-To-End Software DevelopmentAPI IntegrationAI-Assisted DevelopmentCloud-Based ServicesSecurity and Compliance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonTypeScriptC#Node.jsCI/CDTest AutomationOperational MonitoringLLM-Powered ToolsData AccessStructured Data Formats

Soft Skills

CollaborationCommunicationProblem-SolvingStakeholder ManagementAdaptability

Tools & Technologies

CRM PlatformsMarketing AutomationSales Engagement ToolsERP SystemsWebhooksOrchestration FrameworksMonitoring ToolsDocumentation ToolsData Quality ToolsSecrets Management

Industry Keywords

SalesMarketingRevenue OperationsCustomer SuccessEnterprise SecurityComplianceLeanOperational ImprovementData PrivacyConsent Management

Tech Stack

Tools & technologies

CloudERPJavaScriptNode.jsPythonTypeScript

About the role

Key responsibilities & impact

Partner with leaders across Sales, Marketing, Revenue Operations, Customer Success, and other functions to identify high-value AI opportunities
Map current-state processes, identify bottlenecks and failure modes, and redesign processes for automation
Define success metrics and translate business goals into build plans
Design and implement internal AI agents and agentic workflows using LLM patterns, tool use/function calling, retrieval-augmented generation, structured outputs, orchestration, and human-in-the-loop checkpoints
Build end-to-end solutions including UX, service/API layers, integrations, data access, triggers, and connections to business systems
Integrate systems through APIs, authentication, structured data formats, and webhooks
Use AI-assisted development techniques while maintaining quality and maintainability
Own production reliability through monitoring, alerting, logging, incident response, and continuous improvement
Establish reusable patterns, shared components, evaluation harnesses, templates, and documentation
Create runbooks and lightweight training for internal teams
Implement guardrails including data minimization, access controls, secrets management, safe prompting/tooling, output validation, and traceability
Ensure security, compliance, audit readiness, change management, ownership, privacy, and consent requirements
Document system operation, data access, and risk mitigations
Coordinate with Business Technology, IT/Security, Legal/Privacy, and subject matter experts
Communicate progress clearly and manage tradeoffs between speed and rigor
Deploy high-impact internal AI agents into real business workflows and establish a scalable operating model for internal AI

Requirements

What you’ll need

Ability to build and maintain end-to-end software from design through deployment and ongoing operation
Strong engineering fundamentals
Proficiency in at least one modern programming language such as Python, TypeScript, C#, or Node.js
Comfort learning additional technologies
Practical experience integrating systems via APIs, authentication, and structured data formats
Ability to work with non-technical stakeholders, translate ambiguous problems into specifications, iterate quickly, and drive adoption
Familiarity with Sales, Marketing, Revenue Operations, or Customer Success
Experience integrating CRM, marketing automation, sales engagement, customer success/support platforms, ERP, or similar enterprise applications through APIs and webhooks
Familiarity with GTM workflows and data involving leads, accounts, opportunities, activities, customer engagement, and support processes
Comfort working with marketing, sales, and customer data, including data quality, enrichment, privacy, and consent
Experience building cloud-based services
Experience with CI/CD, source control, test automation, and operational monitoring
Knowledge of networking, identity, secrets management, and infrastructure automation
Experience or strong interest in AI-assisted development
Hands-on experience building LLM-powered tools and agents, including prompting, tool use/function calling, retrieval, orchestration frameworks, and evaluation/quality approaches
Ability to design safe and predictable AI systems using validation, fallbacks, human-in-the-loop approaches, and clear failure handling
Preferred: familiarity with enterprise security and compliance, Lean or operational improvement, and internal tools driving adoption across business functions

Benefits

Comp & perks

Opportunity to contribute to M-Files' success and growth while developing expertise and helping build the AI capability
Flexible work/life balance as a remote-enabled company
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)