Vice President, AI Engineer
Tasks
- Apply responsible AI and model governance
- Architect scalable AI solutions with microservices
- Build AI harnesses and AI engineering platforms
- Build inference pipelines and orchestration workflows
- Collaborate with stakeholders on AI strategy and roadmaps
- Create AI observability tracing and monitoring
- Design Agentic AI systems
- Develop and deploy generative AI applications
- Develop distributed compute for AI workloads
- Develop vector search and retrieval augmented generation systems
- Implement model evaluation and benchmarking
- Integrate security privacy and compliance controls
Perks/Benefits
- Accident insurance
- Health insurance
- Life insurance
- Manager support
- Retirement savings plans
- Training and coaching
- Tuition reimbursement
Skills/Tech-stack
AI Evaluation | AI Search | APIs | Agent systems | Autogen | Azure AI | Azure AI Search | Cloud Native | Compliance | CrewAI | Cybersecurity | Distributed Computing | Docker | Generative AI | Hallucination detection | Inference Pipelines | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | MLflow | Microservices | Milvus | Model Governance | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | OpenSearch | Performance Monitoring | Pinecone | Privacy techniques | PyTorch | Python | RAG | Responsible AI | Retrieval-Augmented Generation | Semantic Kernel | TensorFlow | Tool-Calling | Tracing | Vector Databases | Weaviate | Workflow Orchestration
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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