Hybrid AI & Automation Solution Architect

Wellabe; Des Moines (IA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid availability

401(k) matching

Health insurance

Paid time off

Lifestyle Spending Account

Paternity leave

Job summary

Wellabe is seeking an AI & Automation Solution Architect to design scalable solution patterns for AI and automation, aligning with enterprise architecture, security, governance, and responsible AI expectations.

The role builds reference implementations, validates tools, and provides technical advisory support to distributed teams, driving a federated delivery model with reusable assets and acceleration.

Qualifications

• Bachelor’s degree in information technology, computer science, engineering, data/analytics, or related field.
• Additional coursework in AI, automation, data analytics, or enterprise technology is preferred.
• Experience across architecture governance, security, and production readiness is desirable.

Responsibilities

• Design reusable AI and automation solution patterns translating business use cases into designs.
• Build reference implementations, proofs of value, and demonstration scenarios.
• Provide technical advisory to business, product, and technology teams.
• Embed responsible AI practices including data protection and governance into designs.
• Define technical standards, templates, and reusable assets for repeatable delivery.
• Support lifecycle execution from intake to scale, including production readiness and monitoring.
• Enable distributed delivery teams through demos, walkthroughs, and knowledge sharing.

Skills

Solution architecture

AI & automation

Enterprise design patterns

Security & governance

Stakeholder collaboration

MLOps knowledge

Cloud architecture

Education

Bachelor’s degree in IT / CS / Eng / data / analytics

AI / automation coursework

Tools

Microsoft cloud

Job description

Wellabe is seeking an AI & Automation Solution Architect to design scalable solution patterns for AI and automation, aligning with enterprise architecture, security, governance, and responsible AI expectations.

The role builds reference implementations, validates tools, and provides technical advisory support to distributed teams, driving a federated delivery model with reusable assets and acceleration.