Nuvepro - Task Intelligence for the Enterprise
New Roles · Engineering AI Builders

AI Solution Architect. The role, the market signal, and how to build it in your org.

Designs the AI system around the model, orchestration, retrieval, evals, guardrails, security boundary, observability. YouTube's JD frames it as 'bypass traditional dev cycles via AI-assisted development and low-code solutions.' The engineering peer to the Vibecoder: same toolchain, very different accountability, Architect owns durability + safety, Vibecoder owns speed + iteration.

112 postings · 74 distinct titles · from 260,470 real job postings · see the live data →

Start Your AuditBook a 20-minute walkthrough
What the market calls it
AI Solutions ArchitectAI ArchitectAI Systems ArchitectGenAI ArchitectGenerative AI Architect
Hiring this role in our corpus right now
PwC 15Accenture 11Cognizant 10Booz Allen Hamilton 10Infosys 6

What the postings ask this role to do

2,016 tasks extracted from real AI Solution Architect job descriptions, classified Automate / Augment / Human-only. Only 1.9% can be fully automated: companies are hiring this role for the judgment, not the keystrokes.

Automate
  • Monitor model bias.
  • Maintain crm hygiene
  • Monitor model drift.
  • Keep documentation current
  • Track opportunity progress
Augment
  • Develop innovative solutions to complex problems.
  • Build end-to-end genai applications such as agents, copilots, or rag pipelines.
  • Design and shape enterprise-scale data & ai architectures for sap clients, ensuring alignment with business goals and transformation programs.
  • Conduct code reviews.
  • Create reusable assets.
Human-only
  • Mentor team members.
  • Supervise team members.
  • Support pre-sales activities by pitching and shaping sap data & ai solutions.
  • Lead delivery workstreams for enterprise reporting and analytics in large sap s/4hana transformations.
  • Collaborate with clients, ecosystem partners, and diverse teams to solve challenges and drive successful outcomes.
How we build it in your org

From the market's version of this role to your version of it

1. Audit the work
Start Your Audit maps the tasks this role would own in your operation and classifies each one: what AI runs, what your people run with AI, what stays human.
2. Define your version
Your team composes the job description for your org's variant of the role, grounded in the audited tasks rather than a copied template.
3. Make people ready
A learning plan built from that job description, delivered in GenAI Sandboxes with Simulations and Competency Assessments. Readiness is demonstrated, not assumed.
Build your own

Compose your org's AI Solution Architect job description

Start from the tasks real postings ask for, keep the ones that match your operation, add what is specific to you. The tasks carry their AI classification, so the JD you take away already says what AI runs and what stays with people.

Start with the work, not the org chart.

Run the audit on one operation and see what this role would own first.

Explore the data →Start Your Audit →