AI Solution Architect: Scale Enterprise AI & Automation

The Momba Group; Des Moines (IA); On-site; USD 117,000 - 143,000; Full time

Job summary

The Momba Group is seeking a seasoned Solutions Architect to design scalable AI and automation architectures that align with business objectives and enterprise standards. You will translate requirements into reference architectures, templates, and technical accelerators, guiding delivery from concept to production readiness.

You will collaborate across architecture, security, data, compliance, and technology teams, establishing standards, governance, and best practices for AI initiatives while

Qualifications

• 5+ years of experience in Solution Architecture or related technology disciplines.
• Experience designing AI, automation, workflow, or data-driven solutions.
• Strong knowledge of APIs, cloud technologies, and enterprise applications.
• Understanding AI governance, security, privacy, and compliance considerations.
• Experience creating reusable assets, reference architectures, and standards.

Responsibilities

• Design scalable AI and automation solution architectures aligned with business objectives.
• Develop reusable frameworks, reference architectures, templates, and accelerators.
• Build prototypes and pilots to validate technologies and approaches.
• Advise stakeholders on architecture, governance, and compliance.

Skills

Solution architecture

AI & automation

Cloud technologies

APIs & integration

Stakeholder management

Leadership & coaching

Prompt engineering

Governance & security

RAG & workflow orchestration

Tools

Power Platform

Power Apps

Power Automate

Job description

The Momba Group is seeking a seasoned Solutions Architect to design scalable AI and automation architectures that align with business objectives and enterprise standards. You will translate requirements into reference architectures, templates, and technical accelerators, guiding delivery from concept to production readiness.

You will collaborate across architecture, security, data, compliance, and technology teams, establishing standards, governance, and best practices for AI initiatives while