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Principal Applied AI Engineer – Finance at Genesys | JobVerse
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Principal Applied AI Engineer – Finance
Genesys
Remote
Website
LinkedIn
Principal Applied AI Engineer – Finance
Missouri, United States of America
Full Time
1 week ago
$193,600 - $340,600 USD
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Key skills
AWS
Cloud
Distributed Systems
Docker
Kubernetes
Python
AI
ML
Agentic
MLOps
CI/CD
About this role
Role Overview
Architect and lead the development of agentic AI systems that automate and augment finance workflows.
Design and implement multi-agent systems leveraging LLMs, tool-use frameworks, and orchestration patterns.
Translate cutting-edge research in LLMs and agentic AI into scalable, production-ready solutions.
Establish guardrails, evaluation frameworks, and responsible AI practices to ensure safe, compliant, and reliable outputs.
Design fault-tolerant, observable agent systems with clear failure modes and recovery strategies.
Lead the design and implementation of advanced predictive models, including time series forecasting and attrition prediction across customer segments.
Develop interpretable, production-grade models that drive retention strategies and financial planning.
Define and standardize evaluation metrics, validation frameworks, and monitoring systems for model performance and drift detection.
Translate complex predictive insights into actionable recommendations for finance and business leaders.
Design and build scalable AI/ML systems with a strong emphasis on software engineering best practices.
Lead end-to-end development from concept to production, ensuring robustness, scalability, and maintainability.
Develop and integrate AI services into internal applications and workflows.
Drive adoption of modern tooling (e.g., containerization, orchestration, cloud-native architectures).
Establish and enforce MLOps best practices for deployment, monitoring, retraining, and governance of AI systems.
Ensure systems meet enterprise standards for security, compliance, and auditability.
Develop advanced feature engineering strategies capturing behavioral, financial, and temporal signals.
Set technical direction for AI/ML initiatives across the finance organization.
Lead complex, cross-functional projects and mentor other data specialists.
Requirements
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.
Tech Stack
AWS
Cloud
Distributed Systems
Docker
Kubernetes
Python
Benefits
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
Apply Now
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