Applied AI Analyst
Tasks
- Apply privacy by design data minimization and access controls
- Build RAG pipelines with embeddings and vector search
- Communicate evaluation findings and recommendations to stakeholders
- Create and execute AI evaluation test cases
- Design and test agentic workflows with human in the loop controls
- Develop prompts and structured outputs
- Document workflow steps tool schemas and fallback logic
- Integrate REST APIs and support notebook workflows
- Maintain secure prompt and data handling practices
- Prepare and transform structured and unstructured data
- Prototype and evaluate Microsoft Foundry solutions
- Support AI governance intake documentation and audit evidence
- Support applied AI and GenAI solution development and testing
- Support prompt and agent configuration and logging
- Support third party AI vendor due diligence evidence
- Track KPIs KRIs and monitor output quality and drift
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | Access Control | Agent Service | Agent systems | Agentic Workflows | Azure AI | Azure AI Search | By Design | Copilot Studio | Cybersecurity | Data Governance | Document chunking | Embeddings | Foundry Agent Service | Function Calling | Git | Human-in-the-loop | JSON | Jupyter Notebooks | LLM | Langchain | Langgraph | Machine Learning | Metadata Extraction | Microsoft 365 | Microsoft 365 Copilot | Microsoft Foundry | Model Context Protocol | Model Evaluation | Model Monitoring | Model risk | Model risk governance | Multi-Agent | Multi-Agent Systems | Privacy by Design | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | Risk governance | SQL | Security Testing | Semantic Kernel | Snowflake | Structured Output | The Loop | Tool-Calling | Vector Database | Vector Search | YAML
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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