AI/ML Engineer – Vice President (Seattle, WA)
USD 150K-250K Executive-level Full Time
Tasks
- Automate diagnostics and remediation
- Build RAG pipeline
- Build agentic AI systems
- Build validator models and policy checks
- Create LLM evaluation framework
- Curate domain knowledge data validation
- Define agentic AI roadmaps
- Develop tool-calling agents
- Drive design reviews and mentoring
- Enforce safety reliability and governance
- Implement retrieval pipelines
- Integrate agents with observability and incident management
- Optimize cost and latency
- Summarize incidents with traceability
Perks/Benefits
Skills/Tech-stack
AWS | Adversarial prompting | Anomaly Detection | Applied statistics | Batching | C plus plus | Caching | Change Orchestration | CloudFormation | Distillation | DynamoDB | ECS | EKS | Experimentation | Fine Tuning | Function Calling | Go | Incident Management | Infra-as-code | Java | Lambda | Language Models | Large Language Models | Least Privilege | Machine Learning | Model Deployment | Model Monitoring | Model Serving | Model routing | Observability | Policy enforcement | Predictive Modeling | Prompt Synthesis | Prompt engineering | Python | RAG | Redshift | Response validation | Retrieval-Augmented Generation | Rollback strategies | S3 | SageMaker | Self-correction | Series forecasting | Step Functions | Streaming | Streaming processing | Terraform | Time Series | Time Series Forecasting | Tool-Calling | Vector Retrieval | “as-code”
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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