Principal Applied AI Engineer, Finance
Virtual Office (Massachusetts), United States
R
USD 340K Senior-level Full Time
Tasks
- Architect agentic AI systems for finance workflows
- Build fault tolerant observable agent systems
- Create evaluation frameworks for responsible AI
- Create interpretable production grade predictive models
- Define metrics validation and monitoring for model performance
- Design multi agent systems with LLM tool use
- Detect model drift and manage monitoring
- Develop RAG systems with semantic search architectures
- Develop feature engineering strategies for behavioral signals
- Develop time series forecasting and attrition models
- Ensure security, compliance, and auditability
- Implement Generative AI solutions in production
- Implement MLOps for deployment monitoring retraining governance
- Integrate AI services into internal applications
- Lead cross functional AI projects and mentor teams
- Set AI ML technical direction across finance organization
Perks/Benefits
- 401k matching
- Adoption Assistance
- Development and career growth opportunities
- Fertility treatments
- Flexible work schedules
- Medical, dental, and vision insurance
- Open time off
- Paid Holidays
- Telehealth Coverage
- Work-from-home opportunities
Skills/Tech-stack
API Development | AWS | Bias Mitigation | CI/CD | Churn Prediction | Compliance | Containerization | Deep learning | Distributed Systems | Docker | Drift Detection | Feature Engineering | Fine Tuning | Guardrails | Kubernetes | LLM Fine-tuning | Language Models | Large Language Models | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model Evaluation | Model Monitoring | Prompt engineering | Python | Responsible AI | Retrieval-Augmented Generation | Security | Semantic Search | Series forecasting | Software Architecture | Time Series | Time Series Forecasting | Vector Databases
Education
N/A
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