Artificial Intelligence & Machine Learning, Vice President
Tasks
- Convert business problems into scalable technical solutions
- Define AI platform reference architectures and standards
- Design end to end AI ML and Generative AI solution architectures
- Drive POCs architecture assessments technical reviews and production onboarding
- Ensure responsible AI governance and risk compliance
- Establish reusable design patterns for prompt engineering RAG and model serving
- Lead multi cloud and hybrid AI environment architecture
- Partner with platform cloud security and DevSecOps for production readiness and observability
- Provide technical leadership on solution trade offs standards and modernization
- Support architecture governance forums
Perks/Benefits
- Employee assistance program
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
AI Risk | AI risk management | API Architecture | Access Control | Agentic Workflows | Amazon Web Services | Architecture governance | Azure | CI/CD | Cloud Architecture | Cloud platform | Container platforms | Data handling | Databricks | DevSecOps | Distributed Systems | Event Driven | Event-driven architecture | Generative AI | Google Cloud | Google Cloud Platform | Hybrid Cloud | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Model Serving | Model risk | Monitoring | Multi-cloud | Observability | Prompt engineering | Responsible AI | Retrieval-Augmented Generation | Risk Management | Security Reviews | System Integration | Testing | Vector Databases | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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