AI Strategy & Deployment Manager
Tasks
- Build agentic AI workflows and chatbots
- Collaborate with stakeholders to align AI initiatives with business goals
- Define and execute enterprise AI strategy
- Design evaluation methodologies for AI solutions
- Develop automation and continuous learning systems
- Establish AI governance and observability frameworks
- Lead AI build vs. buy analyses
- Manage AI projects including timelines and budgets
- Own AI lifecycle from data ingestion to deployment
- Promote responsible AI deployment
- Stay updated on AI advancements and promote best practices
- Track and communicate AI performance
- Translate supply chain requirements into AI solutions
Perks/Benefits
- Global exposure
- Growth opportunities
- Impactful healthcare innovation
- Life-changing products
- Strong company culture
Skills/Tech-stack
AI Governance | AI Lifecycle | AI Lifecycle Management | AI Observability | AI Search | AI Search Platforms | Attention Mechanisms | Automl | Azure Cognitive | Azure Cognitive Search | Azure DevOps | Azure DevOps/GitHub | Azure ML | Azure Monitor | Azure OpenAI | CI/CD | Classical ML | Cognitive Search | Data Engineering | Deep learning | DevOps | DevOps GitHub | GenAI | Git | Langchain | Language Models | Large Language Models | Lifecycle Management | MLflow | Microsoft Azure | Model Context Protocol | Prompt engineering | Python | Reinforcement Learning | Retrieval-Augmented Generation | SQL | Search Platforms | Transformer Architectures | Vector Databases
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