AI Lead, IT Applications
Tasks
- Architect enterprise AI solutions
- Conduct AI safety evaluations
- Create CI CD for AI
- Define AI security framework
- Deploy LLMs across cloud and on prem
- Design agentic AI orchestration
- Drive LLMOps and MLOps practices
- Ensure compliance with AI regulations
- Evaluate and integrate LLMs
- Implement AI observability
- Implement rag pipelines
- Lead AI governance best practices
- Lead enterprise adoption of Power Platform and Copilot Studio
- Manage data privacy and access controls
- Mentor engineers and set technical standards
- Monitor performance and manage incidents
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Observability | AI RMF | AI Search | AI Studio | Agent Orchestration | Agentic AI | Azure AI | Azure AI Foundry | Azure AI Search | Azure AI Studio | Azure Container | Azure Container Apps | Azure Machine Learning | Azure OpenAI | CI/CD | Container Apps | Copilot Studio | Dataverse | Docker | Fine Tuning | ISO/IEC | ISO/IEC 42001 | Injection Defense | JavaScript | Kubernetes | LLMOps | MLOps | Machine Learning | Microsoft Power | Microsoft Power Platform | Model Context Protocol | Model Evaluation | Model Fine-tuning | Multi-Agent | Multi-agent orchestration | NIST AI | NIST AI RMF | Power Apps | Power Automate | Power BI | Power Platform | Prompt injection | Prompt injection defense | Python | RAG | Retrieval-Augmented Generation | TypeScript | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Lead | Engineer | Lead | Learning Engineer | Machine Learning Engineer
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