AI Solutions Architect
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- real career growth
- autonomy to own your work
- leadership that values innovation and practical solutions over bureaucracy
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
