Assess • Architect • Enable • AI That Moves the Business
About Digacore
At Digacore, we help businesses operate smarter through technology, automation, and exceptional support. We’re a fast-paced, people-first MSP that blends IT, development, automation, and client experience into one collaborative environment — with real career growth, autonomy to own your work, and leadership that values innovation and practical solutions over bureaucracy.
We’re looking for an AI Solutions Architect to lead how Digacore and our clients adopt AI and automation — from discovery through delivery. This is an architect and consultant role, not a hands-on build role: you scope, assess, and design the solution, and our engineers build it. You’ll sit with clients and internal teams to understand where they are today, map where AI and automation can take them, and design the solutions and data pipelines to get there — owning each engagement through delivery.
We’re starting internal-first. You’ll assess and structure our own data and workflows before — and while — we bring this practice to clients, so we practice what we sell.
What You’ll Do
Run client AI Readiness Assessments— deep discovery across data pipelines and workflows/processes to find where AI and automation create real value
Build the roadmap— turn each assessment into a 30/60/90-day automation & AI roadmap the client reviews and signs off on
Architect the solution— design the solution and pipeline structure, hand the build to our engineers, and own it through delivery
Lead client enablement and training— move client staff along the maturity curve: from treating AI as “a Google search,” to “an assistant,” to “an employee working by their side”
Drive the internal-first phase— assess and structure Digacore’s own data and workflows so we’re ready to scale the practice to clients
Partner and prioritize— work with leadership, department heads, and clients to translate business problems into scoped, high-impact solutions
Set direction and standards— define how we assess, architect, and deliver AI and automation work across the company and client environments
Track and communicate impact— time saved, efficiency gained, and clear business and client value delivered
What You Bring
Required Skills & Experience
A relentless AI-frontier researcher— you live at the edge of new models, tools, and patterns and are always learning
Business + data + people translation— you can sit with a non-technical stakeholder and a data pipeline in the same hour and connect the two
Genuine conviction about AI— you see it as an opportunity, not a threat, and can bring skeptical clients along
Comfort with ambiguity— you don’t need a playbook; you create the structure yourself
A strong “data brain”— you think in terms of workflow, process, and what the end result should actually drive
An architecture/consulting track record— you’ve scoped and designed data, automation, or AI solutions (design and direction, not primarily coding)
Excellent communication— comfortable presenting roadmaps and recommendations to executives, leadership, and clients
Multi-client environment experience— MSP, SaaS, or another service business where you’ve worked across many clients
Preferred Skills & Experience
Familiarity with the modern AI/automation toolchain (Claude, LLM platforms and APIs, n8n, Power Platform) — enough to design with it and direct engineers, not to write production code yourself
Working knowledge of data structures, pipelines, and reporting tools (e.g., Power BI)
Familiarity with Microsoft 365, SharePoint, and Azure
Experience running discovery or readiness assessments and building client-facing roadmaps
The Right Mindset
We care just as much about mindset as technical ability. The ideal person for this role:
Is genuinely excited about AI and treats new models, tools, and patterns as opportunities, not threats
Loves sitting with people and watching them work — that’s where the best assessments start
Thinks in terms of outcomes and business value, not activity
Can stay calm and professional when clients are stressed or unsure
Has a “white glove” approach to client experience
Thrives in ambiguity and builds structure where there wasn’t any
Wants to grow into leading our AI practice over time
Growth Path
This role starts as an individual contributor with a clear runway. As the practice scales, there’s a path to lead our AI-frontier team — owning assessments, deployments, and training — or to manage the Development & Automation (D&A) department.
How You’ll Be Measured
Quality and business impact of the AI readiness assessments and roadmaps you deliver
Client sign-off and adoption of the roadmaps you build
Successful delivery of the solutions you architect — from scope through handoff to engineering
Growth in client AI maturity — staff moving from “Google search” to “assistant” to “employee by their side”
Progress structuring and activating Digacore’s own data and workflows
Compensation & Location
Compensation: 120-150k, DOE
Location: New Jersey hybrid preferred; remote considered for the right person
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