Sr. Manager, AI Platform Engineering
Chicago, Illinois, United States
USD 147K-191K Senior-level Full Time
Tasks
- Automate retraining and validation
- Build and deploy secure GenAI applications
- Build production feature stores and pipelines
- Define and execute ML and GenAI platform strategy
- Design and operationalize GenAI pipelines
- Design feature engineering and training data pipelines
- Develop AIOps for monitoring model drift and performance
- Establish GenAI governance for compliance and auditability
- Hire and mentor AI engineering team
- Integrate LLMs into enterprise workflows
- Lead ML infrastructure architecture and operations
- Own ML and GenAI platform roadmap
- Provide technical mentorship and guidance
Perks/Benefits
- 401k
- Accident and disability insurance
- Commuter benefits
- Dental insurance
- Employee assistance program
- Flight privileges
- Health and wellness benefits
- Life insurance
- Paid Holidays
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
AIOps | Agentic AI | Amazon SageMaker | Anthropic | Application development | Data Governance | Data Ingestion | Data Transformation | Databricks | Delta Lake | Feature Store | Fine Tuning | Generative AI | GitOps | Hugging Face | Jenkins | KServe | Kafka | Kubernetes | LLM | Langchain | MLOps | MLflow | Machine Learning | Model Drift | Model Monitoring | Observability | OpenAI | Privacy | Prompt orchestration) | RAG | Retraining automation | Safety Compliance | Secure Application Development | Secure application | Spark | Terraform | Vertex AI
Education
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