AZDES - AI Applications Developer (Google Cloud/Vertex AI, Gemini, NotebookLM) -14399

THIS POSITION IS ONLY FOR CURRENT ARIZONA RESIDENTS.

Only on W2. No C2C.

Job Title: AI Applications Developer - (Google Cloud/Vertex AI, Gemini, NotebookLM)

Job ID: 14399

Client: State of Arizona - AZDES - DTS

Closing Date & Time: 11/6/2026 @ 3 PM

Bachelor’s degree plus 10 or more years of programming and analysis experience (or equivalent experience). Master’s Degree preferred.

Required Skills

Masters in AI or 2 years of AI experience

Requirement Gathering

Preferred Skills

Azure Open AI

SQL

C#

Python

Role Summary

• Identify, design, and implement AI solutions that reduce administrative workload and improve operational quality.

• Serve as a bridge between operational units and technology, guiding adoption of approved AI tools and developing secure, custom solutions within the DTS closed environment.

• Translate complex operational processes into technical specifications, determining when to use enterprise AI platforms (Gemini, NotebookLM) versus building bespoke local solutions.

• Architect, prototype, and deploy custom AI tools from scratch, leveraging Python and approved enterprise AI ecosystems (Google Cloud/Vertex AI, Gemini).

• Maintain comprehensive technical documentation covering code, architecture, system prompts, and workflows.

Core Responsibilities

• Convert operational workflows and business needs into detailed technical requirements for AI implementation.

• Evaluate solution paths: enterprise AI tools vs. custom-built local applications.

• Design, build, and deploy secure AI systems within the DTS environment.

• Apply hands-on expertise in LLMs, prompt engineering, and RAG architectures to develop high‑quality solutions.

• Guide operational teams in adopting approved agency AI tools to solve immediate challenges.

• Maintain accurate, compliant documentation for architecture, code, prompts, and system workflows.

Technical Skills & Knowledge

• Proficiency across multiple programming languages, databases, development platforms, and integration patterns.

• Full software development lifecycle: analysis, design, coding, testing, problem resolution, planning.

• Agile development methodology (Scrum, Kanban, SAFe).

• Microsoft Responsible AI Standard: fairness, reliability/safety, privacy/security, inclusiveness, transparency, accountability.

• Azure Cloud Architecture: compute, storage, networking, Azure AI Foundry.

• Generative AI mechanics: LLMs, embeddings, vector databases, foundation model behavior.

• MLOps & AI Governance: ML lifecycle, CI/CD for AI, compliance frameworks.

• Programming proficiency: Python, SQL, C# (.NET Framework).

• Azure OpenAI implementation and integration.

• Building RAG pipelines, advanced prompt engineering, fine‑tuning, and agentic AI workflows.

• Configure Azure AI Content Safety, guardrails, and Responsible AI dashboards.

• Use GitHub Copilot for accelerated coding, documentation, and unit test generation.

Professional & Analytical Skills

• Work independently and manage multiple priorities effectively.

• Collaborate and communicate clearly with business stakeholders and technical teams.

• Synthesize feedback and adjust plans to meet evolving requirements.

• Build strong cross‑functional relationships across the organization.

• Develop and maintain technical documentation.

• Execute structured testing using established tools and procedures.

• Interpret and analyze test results, maintain test frameworks, libraries, and environments.

• Evaluate AI outputs for bias, hallucinations, and security vulnerabilities in alignment with Responsible AI standards.

• Explain complex AI behaviors, limitations, and trade‑offs to non‑technical audiences.

• Continuously learn and adapt to evolving Microsoft and industry AI practices.