Automation Engineer - On Site

K Group Companies • Grand Rapids, MI

1d • Onsite

About The Position

The 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.

Requirements

• 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.

Nice To Haves

• MSP or technology services background preferred.

Responsibilities

• 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.
• 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.
• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed