Sr. AI Engineering Manager
USD 114K-194K Senior-level Full Time
Tasks
- Build production grade AI systems with data pipelines model training deployment and monitoring
- Coach responsible AI delivery discipline and technical excellence
- Communicate status risks and outcomes to stakeholders
- Deliver AI and GenAI initiatives from concept to production
- Drive continuous improvement with retrospectives metrics and best practice adoption
- Ensure AI reliability monitoring cost management and incident response
- Establish responsible AI guardrails for privacy bias transparency and auditability
- Integrate AI services into enterprise applications
- Manage AI engineering team
- Provide LLM application architecture guidance
- Provide ML pipeline and model lifecycle architecture guidance
- Review designs and technical decisions for platform alignment
- Set goals success metrics and conduct performance reviews
Perks/Benefits
- 401k matching
- Dental
- Employee Assistance Program (EAP)
- Employee stock purchase program
- Family care and bonding leave
- Life insurance
- Medical
- Paid Company Holidays
- Paid time off
- Student debt assistance
- Tuition reimbursement
- Tuition reimbursement development and career growth opportunities
- Vision
- Wellness benefits
Skills/Tech-stack
APIs | AWS | Application development | Artificial Intelligence | Auditability | Azure | Bias Mitigation | CI/CD | Cloud Computing | Data Pipelines | Data Privacy | Deployment | Enterprise Architecture | GCP | Incident Response | LLM Application Development | LLM application | Language Models | Large Language Models | Lifecycle Management | MLOps | Machine Learning | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Model Risk Management | Model risk | Observability | Responsible AI | Retrieval-Augmented Generation | Risk Management | Software Architecture | Software testing
Education
Roles
AI | AI Engineering | AI Engineering Manager | Engineering Manager | Manager
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