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

- **Company:** SR International Inc.
- **Location:** Phoenix, AZ, United States
- **Experience:** Experienced
- **Contract:** Contract
- **Skills:** .NET Framework, Agile Methodology, Artificial Intelligence, Computing Platforms, Automation of Tests, Unit Testing, Microsoft Azure, C Sharp (Programming Language), Computer Programming, Databases, Continuous Integration, Python (Programming Language), Scrum Methodology, OpenAI, Software Engineering, SQL Databases, Google Cloud, GitHub Copilot, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, NotebookLM, Generative AI, Agentic-AI, AI Platforms, Machine Learning Operations, Azure AI, Google Gemini, Programming Languages
- **Published:** November 4, 2026
- **Apply:** https://www.dice.com/job-detail/3da95cc0-400e-4e73-bc5d-7104af17f75e

## About the Role

Bachelor's degree plus 10 or more years of programming and analysis experience (or equivalent experience). Master's Degree preferred., Masters in AI or 2 years of AI experience, * 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.

## Description

* 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., * 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., * 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.