Artificial Intelligence Engineer

Sharp Decisions is seeking an Artificial Intelligence Solutions Architect to work with their internal AI product management team and vendor teams. The role involves leading the design and implementation of AI solutions, ensuring compliance with security and privacy requirements, and collaborating with various teams to operationalize AI solutions.

Responsibilities:

• Lead the design and implementation of secure, scalable AI and Agentic AI solutions aligned with DES mission, policies, and public-sector standards
• Define end-to-end AI architectures including data ingestion, RAG pipelines, LLM orchestration, and human-in-the-loop workflows
• Provide technical leadership, relevant architectural documentations for approvals, and guidance to internal teams and system integrators
• Ensure compliance with State of Arizona security, privacy, accessibility, and data-governance requirements (PII, HIPAA, CJIS where applicable)
• Establish reference architectures and best practices for responsible, ethical, and compliant AI use across DES
• Evaluate and integrate AI platforms, cloud services, and vendor solutions in coordination with procurement and legal teams
• Design architectures that support explainability, auditability, bias mitigation, and transparency in decision-support systems
• Collaborate with DevOps (cloud ops), cybersecurity, and data teams to operationalize AI solutions from proof of concept to production systems
• Support AI strategy, roadmap development, and executive briefings to scale AI capabilities across DES programs

Requirements:

• Bachelor's degree in Computer Science
• AI Development with Agentic AI and Azure OpenAI
• LLM, ML, RAG, and human-in-the-loop workflows
• Net (C#, VB.Net), HTML, JavaScript, and advanced automation tools (OCR, IDP, AI/ML)
• Demonstrable written and oral communication skills
• Ability to design and implement AI agentic solutions from business and technical requirements
• Ability to develop technical specifications, designs, and architecture artifacts
• Ability to break down business problems into logical tasks and think creatively
• Ability to perform code analysis to understand how code is implemented
• Ability to manage multiple tasks and changing priorities
• Azure DevOps, Git, CI/CD
• Familiarity with using API/Services (REST & SOAP services), MS Office, Google Suite, OnBase Unity Client
• Continues to educate and mentor developers in best practice
• Experience with agile development Scrum, Trello, Kanban, SAFe, Lean principles and software development life cycle (SDLC) and ITIL Process