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Genesys

Principal Applied AI Engineer, Finance

Genesys

Principal Applied AI Engineer at Genesys designing AI and predictive models for finance. Leading the development of advanced financial decision-making systems and innovative AI technologies.

Posted 6/29/2026full-timeVirtual Office • Maine, Massachusetts, Montana, New York, Rhode Island • 🇺🇸 United StatesLead💰 $193,600 - $340,600 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsDockerKubernetesPython

About the role

Key responsibilities & impact
  • Architect and lead the development of agentic AI systems that automate finance workflows.
  • Design and implement multi-agent systems leveraging LLMs and orchestration patterns.
  • Translate cutting-edge research into scalable solutions.
  • Establish guardrails and responsible AI practices for safe outputs.
  • Lead the design of advanced predictive models for customer behavior forecasting.
  • Develop interpretable, production-grade models for retention strategies.
  • Design scalable AI/ML systems with emphasis on software engineering best practices.
  • Establish MLOps best practices for AI systems deployment and governance.
  • Set technical direction for AI/ML initiatives across finance.

Requirements

What you’ll need
  • 8+ years of experience in data science, software engineering, and AI engineering, with significant experience deploying production systems.
  • Proven track record of building production AI systems used at scale.
  • Deep expertise in predictive modeling, including time series forecasting and customer churn modeling.
  • Advanced proficiency in Python and strong experience with ML/AI frameworks and system design.
  • Hands-on experience with LLMs, including prompt engineering, fine-tuning, and evaluation techniques.
  • Strong experience with cloud platforms (preferably AWS), distributed systems, and MLOps practices.
  • Experience working with financial data and compliance-aware modeling.
  • Strong software engineering foundation, including API development, containerization (Docker/Kubernetes), and CI/CD pipelines.

Benefits

Comp & perks
  • Medical, Dental, and Vision Insurance.
  • Telehealth coverage
  • Flexible work schedules and work from home opportunities
  • Development and career growth opportunities
  • Open Time Off in addition to 10 paid holidays
  • 401(k) matching program
  • Adoption Assistance
  • Fertility treatments

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Hard Skills & Tools
Predictive ModelingTime Series ForecastingCustomer Churn ModelingAPI DevelopmentContainerization (Docker/Kubernetes)CI/CD PipelinesLLMs (Prompt Engineering, Fine-Tuning)Software Engineering Best PracticesProduction AI SystemsData Science