Secure AI Solutions Architect – Azure OpenAI & RAG Lead

JPS Tech Solutions; Arizona; On-site; USD 120,000 - 170,000; Full time

Job summary

JPS Tech Solutions in Arizona seeks an AI Solutions Architect to lead secure, scalable AI and Agentic AI initiatives across DES programs. You will partner with product management, vendor partners, and development staff to craft end-to-end architectures that meet governance and privacy standards.

You will drive data ingestion, RAG, LLM orchestration, and human-in-the-loop workflows, producing architecture artifacts and reference models for enterprise-wide adoption, while guiding PoC to production

Qualifications

• Hands-on AI development including Agentic AI solutions, Azure OpenAI, LLM/ML/RAG architectures, and human-in-the-loop workflows.
• Strong background in .NET stack and web technologies (C#, VB.NET, HTML, JavaScript).
• Experience designing secure, scalable AI systems with governance, explainability, auditability, and bias mitigation.

Responsibilities

• Lead the design and implementation of secure, scalable AI and Agentic AI solutions aligned with mission and standards.
• Define end-to-end AI architectures including data ingestion pipelines, RAG frameworks, LLM orchestration, and human-in-the-loop workflows.
• Develop architecture artifacts, technical specifications, and governance documentation for approvals.
• Establish reference architectures and best practices for enterprise-wide adoption.

Skills

Agentic AI

Azure OpenAI

LLM architectures

RAG architectures

Human-in-the-loop

C# / VB.NET

HTML / JavaScript

Automation tools

Communication skills

Project management

Tools

Azure DevOps

Git

REST APIs

SOAP APIs

OnBase

Google Workspace

MS Office

Job description

JPS Tech Solutions in Arizona seeks an AI Solutions Architect to lead secure, scalable AI and Agentic AI initiatives across DES programs. You will partner with product management, vendor partners, and development staff to craft end-to-end architectures that meet governance and privacy standards.

You will drive data ingestion, RAG, LLM orchestration, and human-in-the-loop workflows, producing architecture artifacts and reference models for enterprise-wide adoption, while guiding PoC to production