Industry Consulting Manager
Tasks
- Architect AI data ingestion model training deployment monitoring governance
- Build scalable APIs microservices and AI enabled platforms
- Define enterprise AI architecture strategy
- Define responsible AI frameworks for governance explainability fairness and security
- Design AI ML platforms and solutions
- Design and develop enterprise AI ML and generative AI applications
- Ensure AI system scalability reliability security and compliance
- Ensure enterprise security privacy and regulatory compliance for AI systems
- Establish AI reference architectures standards and best practices
- Establish MLOps LLMOps practices for CI CD monitoring and retraining
- Evaluate emerging AI technologies for enterprise adoption
- Integrate AI solutions with enterprise systems cloud and data platforms
- Lead cross-functional technical teams
- Lead solution architecture and technical implementation
- Mentor engineering and architecture teams on AI architecture patterns
- Optimize AI platform performance and operational excellence
- Partner with business leaders to identify AI opportunities
- Provide technical governance and architectural oversight
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | APIs | AWS | Artificial Intelligence | Azure | Big Data | CI/CD | Cloud Platforms | Data Engineering | Distributed Systems | Docker | Enterprise Integration | Generative AI | Google Cloud | Hugging Face | Java | Kubernetes | LLMOps | Langchain | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microservices | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scala | Security Architecture | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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