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

• 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.

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.