Principal Applied Ai Engineer, Finance

Genesys

Base: $225,200.00 - $396,000.00; bonus/equity: eli...
Fully remote
8+ years data science and ai engineering experience
Production-grade ai system architecture
Python and ml framework proficiency
Genesys is seeking a Principal Applied AI Engineer to design and deliver AI and predictive models to enhance financial decision-making. The ideal candidate will possess strong technical leadership skills and a hands-on approach to building production-grade AI systems, with a focus on agentic AI and predictive modeling

Job Summary

  • This role sits at the intersection of advanced machine learning, agentic AI, and software engineering to transform financial decision-making.
  • The ideal candidate will drive innovation in Generative AI while establishing best practices across modeling, deployment, and governance.
  • Genesys offers market-competitive compensation ranging from $225,200 to $396,000 along with flexible work schedules and comprehensive benefits.

Matching Summary

Match Score: 85

Genesys is seeking a Principal Applied AI Engineer to design and deliver AI and predictive models to enhance financial decision-making. The ideal candidate will possess strong technical leadership skills and a hands-on approach to building production-grade AI systems, with a focus on agentic AI and predictive modeling.

Salary

Base: $225,200.00 - $396,000.00; Bonus/Equity: Eligible for commission or performance-based bonus; Benefits: Medical, Dental, Vision, 401(k) matching, Open Time Off

Skills & Requirements

Must-have

  • 8+ years data science and AI engineering experience
  • Production-grade AI system architecture
  • Python and ML framework proficiency
  • LLM prompt engineering and fine-tuning
  • AWS cloud platform and MLOps practices
  • Time series forecasting and churn modeling
  • SOX compliance and auditability standards

Nice-to-have

  • Multi-agent orchestration frameworks
  • RAG-based system implementation
  • Vector database and semantic search
  • Responsible AI and bias mitigation
  • Cross-functional technical leadership
  • Mentoring high-impact technical teams

Key Requirements

  • 8+ years experience in data science and AI engineering
  • Proven track record deploying production AI systems at scale
  • Deep expertise in predictive modeling and time series forecasting
  • Strong software engineering foundation including APIs and CI/CD
  • Experience with financial data and compliance-aware modeling

Work Rights

Not specified

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