Senior Manager, AI Engineering
Princeton, New Jersey, United States; San Diego, California, United States; South San Francisco, California, United States
R
USD 150K-187K Senior-level Full Time
Tasks
- Apply responsible AI standards including governance and lifecycle management
- Assess technical feasibility business value and implementation risks
- Deliver analytics and data science use cases
- Design develop validate deploy and support machine learning models
- Develop AI and machine learning solutions
- Develop reusable data science frameworks and reference implementations
- Evaluate implement and optimize generative AI technologies
- Execute enterprise AI strategy and roadmap
- Identify high value AI and machine learning use cases
- Maintain model prompt and dataset documentation
- Monitor emerging AI and machine learning developments
- Partner with IT data insights and analytics and information security
- Provide technical expertise for AI governance
- Recommend AI solution architecture and platform strategy
- Support GxP compliance and AI regulation readiness
Perks/Benefits
- 401k match
- EAP Coverage
- Employee stock purchase plan
- Hybrid work model
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid parental leave
- Paid sick time
- Travel opportunities
- Tuition assistance
Skills/Tech-stack
AI Act | AI RMF | Agent Frameworks | Bias Testing | Deep learning | EU AI | EU AI Act | Explainability | Generative AI | Guardrails | Incident Response | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | NIST AI | NIST AI RMF | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Vector Databases | Version control
Education
Roles
AI | AI Engineering | AI Engineering Manager | Engineering Manager | Manager | Senior Manager
Regions
Countries
States
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