AI Automation & Agentic Systems Specialist

EVERNET•Hartford, CT

About The Position

We are an established MSP and marketing firm looking for an AI Automation & Agentic Systems Specialist to help us transform the way our company—and eventually our clients—operate using AI. This is not a traditional IT support role or a position focused simply on using ChatGPT. We are looking for someone who can analyze real-world business processes, identify opportunities for automation, and design agentic AI systems that can perform work across business applications while keeping a human in the approval loop for important actions. The initial focus of this position will be internal. You will work directly with company leadership to understand our day-to-day operations, identify repetitive and time-consuming tasks, and implement AI agents and automated workflows that improve efficiency without sacrificing oversight or control. Once we have successfully implemented and proven these systems internally, the role will expand into helping us productize and deploy Agentic AI solutions for our existing MSP and marketing clients. Several of our clients are already asking for assistance implementing AI automation, making this an opportunity to help build a new service offering from the ground up. This position will begin part-time with the expectation that it can grow into a full-time role as client demand increases.

Requirements

Business process discovery and optimization
Agentic AI Development
Human-in-the-Loop Approval design
AI & Business Systems Integration
Experience in Agentic AI systems
Experience with Large Language Models (LLMs)
Experience with OpenAI / Azure OpenAI
Experience with Anthropic Claude
Experience with Microsoft Copilot ecosystem
Experience with AI APIs
Experience with n8n
Experience with Make
Experience with Zapier
Experience with Microsoft Power Automate
Experience with API integrations
Experience with Webhooks
Experience with Python and/or JavaScript
Experience with REST APIs
Experience with JSON
Experience with Databases
Experience with Retrieval-Augmented Generation (RAG)
Experience with Vector databases / semantic search
Experience with AI tool/function calling
Experience with Multi-agent workflows
Experience with MCP or similar AI integration protocols
Experience with Prompt and context engineering
Experience with AI evaluation and testing
Experience with Business process automation
Understanding or willingness to develop expertise around Role-based access and least-privilege permissions
Understanding or willingness to develop expertise around Data privacy
Understanding or willingness to develop expertise around Credential and API-key management
Understanding or willingness to develop expertise around AI data governance
Understanding or willingness to develop expertise around Logging and audit trails
Understanding or willingness to develop expertise around Human approval controls
Understanding or willingness to develop expertise around Error handling and rollback procedures
Understanding or willingness to develop expertise around AI hallucination and reliability risks
Understanding or willingness to develop expertise around Testing AI systems before production deployment
Understanding or willingness to develop expertise around Separating client environments and data
Understanding or willingness to develop expertise around Monitoring AI agents after deployment

Nice To Haves

Experience working with MSPs, IT service providers, marketing agencies, or SMB technology environments

Responsibilities

Work directly with leadership and employees to understand existing business processes.
Identify repetitive, manual, administrative, and operational tasks that can be automated or AI-assisted.
Map existing workflows and identify bottlenecks, unnecessary steps, and opportunities for improvement.
Prioritize automation projects based on business impact, complexity, risk, and ROI.
Recommend when AI should—and should not—be used to solve a problem.
Design and implement AI agents capable of completing multi-step business processes such as email triage, drafting, and follow-up; CRM updates and data entry; meeting preparation and follow-up; customer onboarding; ticket classification and routing; internal documentation; reporting and data analysis; marketing workflow automation; lead qualification and follow-up; proposal and document generation; task creation and project management; research and information gathering; and recurring administrative processes.
Design workflows where AI can perform the majority of the work while requiring human approval before sensitive or consequential actions are completed.
Build integrations between AI systems and the applications our company and clients already use, potentially including Microsoft 365, Google Workspace, CRM platforms, PSA/RMM platforms, ticketing systems, marketing platforms, project management systems, accounting systems, APIs and webhooks, databases, internal knowledge bases, and automation platforms like n8n, Make, Zapier, or Power Automate.
Conducting AI automation discovery sessions with clients.
Mapping client business processes.
Identifying high-value automation opportunities.
Designing AI agents and workflows.
Creating approval and governance processes.
Integrating AI with client business applications.
Testing and deploying AI solutions.
Training client employees.
Monitoring and improving deployed agents.
Documenting solutions so they can be supported by our MSP team.
Helping establish standardized AI implementation packages and recurring managed AI services.