Distinguished AI Engineer
Tasks
- Assess emerging AI technologies and recommend adoption
- Collaborate with cybersecurity risk compliance and audit teams
- Conduct design reviews for critical AI systems
- Create LLM platform reference patterns
- Define model serving strategy
- Define target state enterprise AI architecture
- Design AI gateways and RAG services
- Ensure AI observability and governance
- Establish AI SDLC and LLMOps standards
- Implement evaluation and release management processes
- Lead hallucination mitigation and safety guardrails
- Mentor principal engineers and create reusable playbooks
- Optimize secure scalable cost efficient inference
- Provide technical assurance for architecture risk forums
Perks/Benefits
- N/A
Skills/Tech-stack
AI Gateways | AI SDLC | AI orchestration | Bias monitoring | Distributed Training | Embeddings | GPU infrastructure | Hallucination mitigation | Inference Optimization | Injection Defense | LLMOps | Language Models | Large Language Models | MLOps | Model Evaluation | Model Governance | Model Serving | Observability | Prompt injection | Prompt injection defense | RAG | Responsible AI | Security
Education
N/A
Roles
AI | AI Engineer | Architect | Engineer | Enterprise Architect | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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