Role OverviewThe AI Automation Engineer is a core technical delivery resource within K Group's AI and Automation practice. Working alongside the AI Enablement Team and practice leadership, this role leads the design, build, and ongoing optimization of AI-powered solutions for both internal operations and external client engagements. The engineer translates scoped strategy into production-grade systems, contributes to internal adoption efforts, and helps build the repeatable frameworks that allow the practice to scale.
This is a builder role first. The ideal candidate thrives on turning complex business requirements into working, measurable systems - and takes pride in delivering solutions that are practical, responsible, and built to last.
Core ResponsibilitiesAutomation & Workflow Engineering- Design, build, and maintain AI-powered automation workflows using n8n, Python, and integrated APIs including ConnectWise, Microsoft 365, SharePoint, and others.
- Develop intelligent systems including multi-stage AI classification pipelines, automated compliance and billing review processes, and notification-driven monitoring tools.
- Implement provider-abstracted AI architectures supporting OpenAI, Ollama, and other LLM providers with configurable confidence thresholds and fallback logic.
- Build and iterate on internal tools that reduce manual effort, improve data accuracy, and create measurable operational efficiencies.
Client Delivery & Engagement Support- Lead delivery execution for AI/automation client engagements - managing implementation, iteration, and ongoing optimization through to completion in coordination with the practice team.
- Participate in client discovery sessions as a technical resource, contributing to needs assessment, feasibility evaluation, and solution design under the direction of practice leadership.
- Translate scoped business requirements into working systems and present delivery results to client stakeholders including operations leads and project sponsors.
- Build reusable delivery frameworks, templates, and documentation that allow AI consulting engagements to scale efficiently across multiple clients.
Enablement & Adoption- Support AI adoption across internal teams by building training materials, playbooks, and purpose-built tools that make AI accessible to non-technical staff.
- Track and report on AI adoption metrics, connecting usage data to business outcomes rather than vanity metrics.
- Contribute to responsible AI use and utilization efforts - including Microsoft 365 Copilot - supporting the governance frameworks and usage guidelines established by practice leadership.
What Success Looks Like - Year OneTo be defined collaboratively with leadership. Initial indicators may include:
- Production-grade automation workflows deployed for internal K Group operations.
- Client delivery engagements completed on time and within scope with documented outcomes.
- Reusable delivery frameworks and templates in place for at least two service offering types.
- AI adoption metrics established and actively tracked across internal teams.
- Contributed to AI utilization efforts, including Microsoft 365 Copilot, with adoption measurably improving across internal teams.
Experience & Qualifications- Hands-on expertise in AI/automation platforms - n8n, LLM integrations, workflow orchestration, API development.
- Proficiency with Python and modern integration patterns across business platforms including ConnectWise, Microsoft 365, and SharePoint.
- Experience building production-grade systems - not just proof-of-concept tools - with attention to reliability, documentation, and maintainability.
- Strong communicator capable of presenting technical work and outcomes to non-technical stakeholders.
- Comfortable working within a defined strategic framework while exercising autonomy in execution and delivery decisions.
- MSP or technology services background preferred.
Reporting & StructureReports to: Director of Engineering
Team: AI Enablement Team
Location: Grand Rapids, MI
