AI Solutions Architect

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, * 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

• 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