Principal AI Architect - M365 IC3 Team (Intelligent Conversation and Communications Cloud)
United States, Washington, Redmond
USD 142K-274K Senior-level Full Time
Tasks
- Build understanding of nondeterministic agent behavior
- Connect telemetry offline evaluation human judgment and experimentation signals
- Create dashboards scorecards and quality reporting
- Define AI LLM RAG agent evaluation architecture
- Design evaluation frameworks for product lifecycle
- Determine system components to address behavioral gaps
- Drive architecture decisions across services data pipelines model interfaces and search systems
- Evaluate enterprise search RAG grounding ranking permissions freshness relevance
- Identify model retrieval orchestration and quality failure modes
- Integrate ML DS LLM RAG evaluation methods into product codebases
- Integrate evals into CI CD build pipelines release gates and workflows
- Mentor engineers and applied scientists on evaluation infrastructure
- Prioritize evaluation investments with product milestones
- Stay current with LLM evaluation agent systems RAG evaluation and responsible AI
- Translate product goals into measurable evaluation strategies
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Systems | Artificial Intelligence | CI/CD | Dashboards | Data Pipelines | Data Visualization | Deep learning | Evaluation methodology | Experimentation | Grounding | Human evaluation | Indexing | Information Retrieval | LLM Observability | Language Models | Language Processing | Large Language Models | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Offline evaluation | Online Experimentation | Permissions | Privacy | Ranking | Red Teaming | Relevance | Reliability | Retrieval-Augmented Generation | Safety | Search | Security | Synthetic data | Telemetry
Education
Roles
AI | AI Architect | Architect | Principal | Principal AI Architect
Regions
Countries
States
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