AI & Automation Solution Architect- Hybrid Des Moines, Iowa

Job Category :
Technology

Requisition Number : AIAUT
001968

• Full-Time
• Hybrid

Showing 1 location

Wellabe is hiring for an AI & Automation Solution Architect. This role supports the AI & Automation Center of Excellence by designing reusable, secure, and scalable solution patterns for AI and automation capabilities. It builds reference implementations, validates tools and approaches, provides technical advisory support, and helps distributed teams design solutions aligned with enterprise architecture, security, governance, and responsible AI expectations.

The role enables a federated delivery model where business and technology teams retain ownership while the CoE provides patterns, standards, reusable assets, and acceleration.

• Design AI and Automation Solution Patterns
  • Develop reusable AI and automation solution patterns that translate business use cases into practical conceptual, logical, and technical designs.
  • Define repeatable design approaches, documentation standards, testing expectations, support considerations, and measurement practices that can be adopted across business and technology teams.
  • Partner with enterprise architecture to ensure solution patterns align with enterprise standards, integration principles, security expectations, and cloud architecture direction.
• Build Reference Implementations and Proofs of Value
  • Build or co-build prototypes, proof‑of‑value implementations, reusable components, and demonstration scenarios that validate AI and automation approaches.
  • Evaluate emerging tools, platforms, integration patterns, automation capabilities, and technical assumptions through hands‑on reference implementations.
  • Document implementation lessons, constraints, and recommended patterns so solutions can be replicated, adapted, extended, and moved toward production.
• Provide Technical Advisory and Design Support
  • Serve as a technical advisor to business, product, process improvement, and technology delivery teams pursuing AI and automation opportunities.
  • Translate use cases, workflow impacts, business requirements, and adoption needs into practical solution options in partnership with the AI & Automation Enablement Lead.
  • Guide teams through tool selection, architecture, integration, data, security, controls, testing, deployment, scaling considerations, and technical risk tradeoffs.
• Support Responsible AI and Automation Practices
  • Embed responsible AI and automation practices into solution design, including transparency, human oversight, data protection, security, privacy, explainability where appropriate, and appropriate use limitations.
  • Partner with governance, risk, compliance, legal, privacy, information security, and data governance teams to ensure solutions follow enterprise guardrails.
  • Identify, document, and support mitigation of AI‑specific risks, production readiness needs, human‑in‑the‑loop controls, operational monitoring, and auditability requirements.
• Define Technical Standards, Templates, and Reusable Assets
  • Create and maintain technical templates, reference architectures, design checklists, prompt engineering patterns, automation standards, testing guides, and production readiness materials.
  • Develop reusable components, scripts, connectors, workflow patterns, prompt libraries, configuration examples, and technical accelerators where appropriate.
  • Partner with CoE leadership to ensure technical assets are understandable, reusable, aligned with business‑facing playbooks, and continuously improved based on implementation lessons.
• Support Lifecycle Execution from Intake to Scale
  • Support the end‑to‑end AI and automation lifecycle, from opportunity assessment and solution design through prototype development, governance alignment, testing, deployment readiness, adoption, measurement, and scale.
  • Define production readiness expectations for technical design, documentation, ownership, monitoring, support model, controls, adoption needs, and benefit tracking.
  • Partner with delivery teams to plan pilot‑to‑production transitions, resolve technical barriers, and ensure solutions are secure, supportable, observable, maintainable, and aligned with enterprise architecture…