AI Solutions Architect

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

Job Description

The AI Solutions Architect will partner with internal AI product management teams, vendor partners, and development staff to design, enhance, and operationalize secure, scalable AI and Agentic AI solutions. This role requires independent judgment, strong architectural leadership, and deep technical expertise in modern AI ecosystems including Azure OpenAI, LLM orchestration, and retrieval-augmented generation (RAG).

The architect will ensure compliance with public-sector governance standards, including PII, HIPAA, and CJIS where applicable, while advancing responsible and ethical AI practices across DES programs.

Key Responsibilities

Architecture & Design

• Lead the design and implementation of secure, scalable AI and Agentic AI solutions aligned with DES mission and state standards.
• Define end-to-end AI architectures including:

1. Data ingestion pipelines
2. RAG frameworks
3. LLM orchestration
4. Agentic AI systems
5. Human-in-the-loop workflows

• Develop architecture artifacts, technical specifications, and documentation for governance approvals.
• Establish reference architectures and AI best practices for enterprise-wide adoption.

Compliance & Governance

• Ensure solutions comply with:

1. State security standards
2. Privacy and accessibility requirements
3. Data governance regulations (PII, HIPAA, CJIS where applicable)

• Design AI systems that emphasize:

1. Explainability
2. Auditability
3. Bias mitigation
4. Transparency in decision-support systems

Technical Leadership

• Provide architectural guidance to development teams and system integrators.
• Evaluate AI platforms, Azure cloud services, and vendor AI tools in coordination with procurement and legal teams.
• Support AI strategy development, roadmaps, and executive briefings.
• Collaborate with:

1. DevOps / Cloud Operations
2. Cybersecurity teams
3. Data engineering teams

• Guide AI solutions from Proof of Concept (PoC) through production deployment.

Required Technical Skills

• Hands-on AI development experience including:

1. Agentic AI solutions
2. Azure OpenAI
3. LLM, ML, and RAG architectures
4. Human-in-the-loop workflows

• Strong background in:

1. .NET (C#, VB.NET)
2. HTML & JavaScript
3. Automation tools (OCR, IDP, AI/ML systems)

• Experience designing AI systems from business and technical requirements.
• Ability to perform code analysis and understand implementation patterns.
• Strong architectural documentation and technical writing skills.
• Ability to decompose complex business problems into logical AI workflows.
• Strong communication skills (written and verbal).
• Ability to manage multiple priorities in dynamic environments.

Preferred Skills

• Azure DevOps, Git, CI/CD pipeline implementation.
• Experience with REST & SOAP APIs.
• Familiarity with:

1. MS Office
2. Google Suite
3. OnBase Unity Client

• Experience mentoring developers and promoting best practices.
• Experience working within Agile frameworks:

1. Scrum
2. Kanban
3. SAFe
4. Lean principles

• Understanding of SDLC and ITIL processes.