AI Solutions Architect

Digacore Technology Consulting

$120K — $150K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in AI architecture or consulting roles
  • Ability to bridge the gap between technical and non-technical stakeholders
  • Strong background in designing data and automation solutions
  • Exceptional communication skills for presenting to executives
  • Experience in multi-client environments such as MSP or SaaS
  • Proficient in understanding and leveraging AI/automation tools

Responsibilities

  • Conduct comprehensive AI readiness assessments to identify automation opportunities
  • Develop detailed 30/60/90-day AI and automation roadmaps for clients
  • Design and architect solutions and data pipelines, overseeing their delivery
  • Facilitate client training to enhance their understanding and adoption of AI solutions
  • Lead internal assessments and structure of Digacore’s workflows and data
  • Collaborate with leadership to translate business challenges into actionable solutions
  • Establish standards for assessing and delivering AI and automation projects

Benefits

  • Opportunity to shape the AI practice from within before scaling to clients
  • Potential to grow into a leadership role within the AI frontier team
  • Engagement with innovative AI methodologies and tools
  • Collaborative working environment with emphasis on client experience
  • Focus on professional development and continuous learning
Full Job Description
AI Solutions Architect

Assess • Architect • Enable • AI That Moves the Business

We9re 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. You9ll 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.

We9re starting internal-first. You9ll assess and structure our own data and workflows before - and while - we bring this practice to clients, so we practice what we sell.

What You9ll 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 4a Google search,4 to 4an assistant,4 to 4an employee working by their side4
  • Drive the internal-first phase - assess and structure Digacore9s own data and workflows so we9re 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 don9t need a playbook; you create the structure yourself
  • A strong 4data brain4 - you think in terms of workflow, process, and what the end result should actually drive
  • An architecture/consulting track record - you9ve 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 you9ve 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 - that9s 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 4white glove4 approach to client experience
  • Thrives in ambiguity and builds structure where there wasn9t 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, there9s a path to lead our AI-frontier team - owning assessments, deployments, and training - or to manage the Development & Automation (D&A) department.

How You9ll 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 4Google search4 to 4assistant4 to 4employee by their side4
  • Progress structuring and activating Digacore9s 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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