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

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

Bridges model labs and customers. Most visible at Anthropic, OpenAI, and frontier-AI partner ecosystems. Translates LLM capabilities into customer-specific solutions.

112 postings · 83 distinct titles · from 260,470 real job postings · see the live data →

Start Your AuditBook a 20-minute walkthrough
What the market calls it
Applied AI EngineerApplied AI ArchitectSolutions Architect, Applied AI
Hiring this role in our corpus right now
Anthropic 43Mistral AI 13Barclays 10Adobe 7Cisco 4

What the postings ask this role to do

2,263 tasks extracted from real Applied AI Architect / Engineer job descriptions, classified Automate / Augment / Human-only. Only 1.1% can be fully automated: companies are hiring this role for the judgment, not the keystrokes.

Automate
  • Identify common integration patterns
  • Produce progress reporting.
Augment
  • Help customers integrate claude into their existing technology stack
  • Apply secure coding practices to mitigate vulnerabilities.
  • Stay informed of industry technology trends and innovations.
  • Guide technical architecture decisions for customer implementations
  • Partner with account executives to understand customer requirements and translate them into technical solutions aligned with business objectives and technical implementation
Human-only
  • Coordinate internally across multiple teams and stakeholders to drive customer success
  • Serve as the primary technical advisor to enterprise customers throughout the claude adoption journey from discovery through evaluation and deployment
  • Travel to customer sites for workshops
  • Travel to customer sites for workshops, technical deep dives, and relationship building
  • Collaborate with researchers, ai engineers, and product engineers on complex customer projects.
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 Applied AI Architect / Engineer 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 →