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.

In a workforce of people and AI agents, this role takes shape around the workflows it supports. Define its responsibilities and handoffs, then prepare people to perform that work.

132 postings · 92 distinct titles · from 264,613 real job postings · see the live data →

What the market calls it
AI Solutions ArchitectAI ArchitectAI Systems ArchitectGenAI ArchitectGenerative AI ArchitectAI-Driven Solution Architect
Hiring this role in our corpus right now
Anthropic 20PwC 15Accenture 11Cognizant 10Booz Allen Hamilton 10

What the postings ask this role to do

2,303 tasks extracted from real AI Solution Architect job descriptions, classified Automate / Augment / Human-only. Only 1.7% 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
  • Help customers develop evaluation frameworks to measure claude's performance for their specific use cases
  • Support customers building with both the claude api and claude for work
  • Identify common integration patterns and contribute insights back to product and engineering teams.
  • Maintain strong knowledge of the latest developments in llm capabilities and implementation patterns.
  • Guide technical architecture decisions and help customers integrate claude effectively into their existing technology stack.
Human-only
  • Coordinate internally across multiple teams and stakeholders to drive customer success.
  • Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
  • Mentor team members.
  • Serve as the primary technical advisor to enterprise customers throughout their claude adoption journey, from discovery to initial evaluation through deployment.
  • Supervise team members.
How we build it in your org

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

1. Define workflow responsibilities
Start with the workflows this role supports: the outcomes, decisions, and handoffs it owns. Task Intelligence examines the tasks within that work and how people and agents can share responsibility.
2. Define your version
Your team composes the job description for your org's variant of the role, grounded in those responsibilities and the task evidence rather than a copied template.
3. Practise and assess readiness
Build on the domain and technical expertise your people already bring. Use relevant Simulations, GenAI Sandboxes, and Skill Validation Assessments to practise changed responsibilities and demonstrate capability. Revisit preparation when the work changes.

Start with the work, not the org chart.

Define what this role will own, then connect those responsibilities to practice and assessment.