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AI Solutions Architect - Phoenix,AZ (Hybrid)

HUMAC INC.Phoenix, AZ🇺🇸United StatesPosted Sep 16, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Phoenix, AZ, United States
Posted
Yesterday
AzureC#.NETGitHIPAAHTMLJavaScriptLLMPhoenix

Job Description

Job Title: AI Solutions Architect
Location: Phoenix, AZ (Hybrid, 1-3 days a month in the office)

Candidates must be local to AZ and available for an in-person interview

Required Skills
  • AI Architecture
  • Data Ingestion
  • RAG Pipelines
  • LLM Orchestration
Preferred Skills
  • Azure Devops
  • GIT
  • CI/CD
  • .Net (C#, VB.Net), HTML, JavaScript
Job Description:
The Artificial Intelligence ( AI ) Solutions Architect ( Contractor ) will work with our existing internal AI product management team, Vendor Teams and existing development staff to develop, enhance and streamline our AI systems.
This position works with minimal supervision and exercises independent judgment within well-defined parameters.
1. Lead the design and implementation of secure, scalable AI and Agentic AI solutions aligned with DES mission, policies, and public-sector standards.
2. Define end-to-end AI architectures including data ingestion, RAG pipelines, LLM orchestration, and human-in-the-loop workflows.
3. Provide technical leadership, relevant architectural documentations for approvals, and guidance to internal teams and system integrators.
4. Ensure compliance with State of Arizona security, privacy, accessibility, and data-governance requirements (PII, HIPAA, CJIS where applicable).
5. Establish reference architectures and best practices for responsible, ethical, and compliant AI use across DES.
6. Evaluate and integrate AI platforms, cloud services, and vendor solutions in coordination with procurement and legal teams.
7. Design architectures that support explainability, auditability, bias mitigation, and transparency in decision-support systems.
8. Collaborate with DevOps (cloud ops), cybersecurity, and data teams to operationalize AI solutions from proof of concept to production systems.
9. Support AI strategy, roadmap development, and executive briefings to scale AI capabilities across DES programs.

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