Vice President, AI Engineering
USD 200K-343K Executive-level Full Time
Tasks
- Build scalable AI platforms with reusable components
- Define enterprise AI strategy
- Deliver enterprise AI platforms and AI enabled capabilities
- Design production grade generative AI and agentic AI solutions
- Develop reusable reference architectures and integration frameworks
- Drive model evaluation testing monitoring and lifecycle management
- Ensure responsible AI with regulatory compliance
- Establish AI governance and delivery frameworks
- Execute multi year AI roadmap
- Implement DevOps MLOps and LLMOps practices
- Lead enterprise AI architecture and solution strategy
- Manage enterprise AI portfolio and prioritization
- Measure business value and adoption outcomes
- Partner with security, privacy, and compliance teams
- Translate business priorities into scalable AI capabilities
Perks/Benefits
Skills/Tech-stack
AI Deployment | Agentic AI | Artificial Intelligence | CI/CD | Cloud technologies | Containers | Data Engineering | Data platforms | DevOps | Enterprise Architecture | Enterprise governance | Generative AI | Infrastructure as Code | LLM orchestration | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Observability | Prompt engineering | Regulatory Compliance | Responsible AI | Retrieval-Augmented Generation | Secure AI | Secure AI deployment | Security Governance | “as-code”
Education
N/A
Regions
Countries
States
Cities
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