VP AI ML Engineering
Primary location: Hyderabad, India
INR 3000K-6000K (estimate) Executive-level Full Time
Tasks
- Build governance and delivery frameworks for responsible AI
- Define enterprise AI strategy
- Define outcome based success measures
- Define reusable reference architectures and integration patterns
- Design prompt engineering and RAG systems
- Drive AI portfolio solution strategy
- Drive enterprise AI product portfolio governance
- Ensure secure and compliant responsible AI adoption
- Establish AI engineering excellence practices
- Execute AI multi year roadmap
- Implement DevOps MLOps and LLMOps practices
- Lead engineering org delivery of enterprise AI platforms
- Lead enterprise AI architecture and platform capabilities
- Lead generative AI and LLM orchestration solutions
- Manage CI/CD and infrastructure as code
- Modernize enterprise platforms into AI ready architectures
- Oversee model lifecycle monitoring and evaluation
- Translate business roadmaps into scalable AI solutions
Perks/Benefits
- Career development opportunities
- Comprehensive benefits
- Continuous learning
- Inclusion-oriented culture
Skills/Tech-stack
AI Deployment | API Integration | Agentic AI | CI/CD | Containerization | Data Engineering | DevOps | Enterprise Architecture | Generative AI | Infrastructure as Code | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Multimodal AI | Observability | Prompt engineering | Retrieval-Augmented Generation | Secure AI | Secure AI deployment | “as-code”
Education
N/A
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