New Roles · Engineering AI Builders

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

Designs the architecture and integrations for an AI system, including model services, data, permissions, observability and failure handling. Agrees technical interfaces and operating requirements with the delivery owners.

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.

Source snapshot 2026-07-17. Postings do not confirm that a vacancy is still open.

132 postings · 92 distinct titles · from 264,613 real job postings · see the source snapshot →

What the market calls it
AI Solutions ArchitectAI ArchitectAI Systems ArchitectGenAI ArchitectGenerative AI ArchitectAI-Driven Solution Architect
Employers in this source snapshot
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. In this source classification, 1.7% of task statements are automation candidates. The share does not measure working time or demonstrated agent performance.

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 actual work this role must improve and the output your enterprise needs. Define how people and agents share the decisions, exceptions and handoffs. Task Intelligence examines the tasks within that work.
2. Define your version
Your team defines the role around its own systems, data, rules and responsibilities. Agree what the person configures, builds, reviews or supervises and what technical support is needed.
3. Practise and assess readiness
Build on the domain and technical expertise your people already bring. Shape a practical project around your enterprise context, then use relevant Simulations, GenAI Sandboxes and Skill Validation Assessments to review the work and capability demonstrated.

Start with the work, not the org chart.

Define what this role will build, configure, decide and check. Connect that work to an enterprise-specific project and agreed assessment evidence.