Principal Applied Ai Engineer, Finance

Genesys

Multiple Locations
Base: $225,200.00 - $396,000.00; bonus/equity: per...
On-site
Agentic ai systems development
Generative ai and llms
Production-grade ai systems
Genesys is seeking a Principal Applied AI Engineer to lead the development of AI and predictive models within the finance sector. The role requires a blend of strategic leadership and hands-on technical expertise to create scalable AI systems that enhance financial decision-making and operational efficiency

Job Summary

  • Lead the design and delivery of next-generation AI and predictive models that transform financial decision-making at scale.
  • Architect and lead the development of agentic AI systems that automate and augment finance workflows, leveraging LLMs and orchestration patterns.
  • Establish and enforce MLOps best practices for deployment, monitoring, retraining, and governance of AI systems, ensuring enterprise standards for security, compliance, and auditability.

Matching Summary

Match Score: 85

Genesys is seeking a Principal Applied AI Engineer to lead the development of AI and predictive models within the finance sector. The role requires a blend of strategic leadership and hands-on technical expertise to create scalable AI systems that enhance financial decision-making and operational efficiency.

Salary

Base: $225,200.00 - $396,000.00; Bonus/Equity: Performance-based bonus opportunities; Benefits: Medical, Dental, Vision, Telehealth, Flexible schedules, 401(k) matching, etc.

Skills & Requirements

Must-have

  • Agentic AI systems development
  • Generative AI and LLMs
  • Production-grade AI systems
  • MLOps best practices
  • Scalable AI/ML system architecture
  • Financial data and compliance

Nice-to-have

  • Leading complex cross-functional projects
  • Mentoring data specialists
  • Translating technical concepts to business value
  • Responsible AI practices

Key Requirements

  • 8+ years in data science, software engineering, AI engineering
  • Proven track record of building production AI systems at scale
  • Deep expertise in predictive modeling
  • Advanced proficiency in Python and ML/AI frameworks
  • Hands-on experience with LLMs
  • Strong experience with cloud platforms (AWS preferred)
  • Experience with financial data and compliance-aware modeling
  • Strong software engineering foundation

Work Rights

Not specified

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