Director, Applied AI
Tasks
- Advise on AI feasibility and build vs buy decisions
- Assess AI risk security and regulatory compliance
- Build ROI business cases and track post deployment value
- Build multi-year AI roadmap
- Coordinate with IT security legal privacy and finance
- Define and operate AI governance and responsible AI framework
- Deliver enablement for functional leaders and operators
- Design and ship LLM agents
- Establish AI engineering practices and standards
- Evaluate pilot and operationalize commercial AI tools
- Fine tune models and build retrieval pipelines
- Identify AI use cases and quantify value
- Implement MLOps observability and cost control
- Integrate AI into WMS TMS and operational systems
- Integrate AI workflows into Microsoft 365
- Recruit and lead AI engineering team
- Set KPIs and OKRs for adoption and model performance
Perks/Benefits
Skills/Tech-stack
AI Foundry | AI Services | Anthropic | Autogen | Azure | Azure AI | Azure AI Foundry | Azure AI Services | Copilot | ERP | Fine Tuning | Hugging Face | Hugging Face Transformers | Langgraph | MLOps | Microsoft 365 | Microsoft Fabric | Model Fine-tuning | Observability | OpenAI | Power Platform | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | TMS | Vector Databases | WMS
Education
Roles
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