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# Senior AI Solutions Architect

- **Company:** CYNET SYSTEMS INC.
- **Location:** Lehi, UT, United States
- **Experience:** Expert
- **Salary:** $120,640.0 - $208,000.0
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Audit Trail, Cloud Engineering, Continuous Integration, Python (Programming Language), Runbook, TypeScript, Large Language Models, AI Platforms, Information Technology, Claude, Cloudwatch, Restful APIs
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-ai-solutions-architect-lehi-ut--04966263-2c59-495e-a37a-e974d7ea857f

## About the Role

Artificial Intelligence (AI), Automation, Business Services, Artificial Intelligence (AI), Technical/Engineering Design, Architectural Services, Technical Operations, Risk, Use Cases, Feasibility Analysis, * Bachelor's degree in computer science, information technology, engineering, or equivalent professional experience.

 * 7+ years in software, platform, integration, or solutions architecture roles, with hands-on production engineering, technical leadership, and service-provider or customer-facing experience.
 * Applied AI solution design: LLM workflows, retrieval when appropriate, tool/agent integration, quality evaluation, model-selection tradeoffs, and non-AI alternatives.
 * Enterprise service integration: Cloud architecture, REST APIs, MCP, identity and authorization, operations tooling, and reusable platform and service patterns.
 * Security and service reliability: Data protection, threat modeling, auditability, observability, resiliency, human oversight, and production readiness.
 * Engineering and advisory: Python or TypeScript prototypes, architecture decision records, delivery tradeoffs, collaboration with service owners, and cross-team facilitation.

Preferred Experience:

 * AWS AI services, Claude, Kong Konnect AI/MCP integration, Client or CloudWatch, CI/CD, and engineering managed services in a regulated enterprise.

## Description

* Lead hands-on solution architecture for Engineering Services (ES) platforms and managed business services., * Partner with ES service owners, Technical Operations, and business unit stakeholders to understand service requirements, operational friction, and customer outcomes; assess where AI is appropriate.
 * Define use cases and success criteria; assess feasibility, value, cost, risk, and reuse before recommending experiments or enhancements to existing and new ES services.
 * Architect AI-enabled capabilities within ES cloud, identity, API/MCP, integration, connectivity, and observability services; apply secure, reusable enterprise patterns.
 * Lead hands-on evaluations and prototypes; guide solution development and integration through production readiness, with clear engineering acceptance criteria.
 * Design for secure, supportable operations with service engineering and Technical Operations: evaluation, telemetry, access controls, runbooks, incident response, and rollback.
 * Present evidence-based options to ES and business unit leaders, explaining service value, reliability, AI quality, cost, privacy, and human-oversight tradeoffs.
 * Lead cross-functional architecture reviews and mentor engineers; coordinate solution delivery with business unit technical teams, Security, and CIO Analytics on dependent applications and integrations.
 * Translate architecture into demonstrable outcomes, communicate delivery risks, and maintain clear service and platform accountability.