Lead AI Engineer (GenAI / Applied AI)
NC.Durham Office, United States
USD 139K-331K (estimate) Senior-level Full Time
Tasks
- Add safety and observability
- Apply prompt injection defense
- Automate evaluation
- Build RAG pipelines
- Configure tool calling and identity
- Deploy AI agents
- Establish responsible AI documentation
- Implement AI monitoring and retraining
- Implement PII handling guardrails
- Implement prompt configuration and evaluation
- Integrate LLM and RAG
- Lead and manage AI engineers
- Manage AI cost optimization
- Own AI solution lifecycle
- Select and evaluate AI models
- Set up CI CD for AI artifacts
- Stand up agent conversation management
- Translate business needs into AI solutions
- Validate AI outputs
- Version prompts and models
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | Azure AI | Azure AI Foundry | Azure OpenAI | CI/CD | Cost Optimization | Data Governance | Direct Lake | Injection Defense | Lakehouse | Language Models | Large Language Models | MLOps | Microsoft Azure | Microsoft Azure AI | Microsoft Azure AI Foundry | Microsoft Fabric | Model Evaluation | Monitoring | OneLake | Output Validation | PII handling | Prompt engineering | Prompt injection | Prompt injection defense | Python | RAG | Retrieval-Augmented Generation | Semantic layer
Education
Roles
AI Engineer | Applied AI Engineer | Engineer | Lead | Lead AI Engineer
Regions
Countries
States
Cities
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