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8 часов назад

Principal Applied AI Engineer (Finance)

193 600 - 340 600$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Principal Applied AI Engineer (Finance): Architecting and delivering agentic AI systems and predictive models to transform financial decision-making with an accent on production-grade AI and intelligent automation. Focus on building multi-agent systems, time series forecasting for customer behavior, and establishing MLOps best practices for enterprise finance.

Location: Virtual Office (Massachusetts), US-based

Salary: $193,600 - $340,600

Company

AI-powered experience orchestration platform connecting people, systems, and data for over 8,000 organizations worldwide.

What you will do

  • Architect agentic AI systems and multi-agent frameworks using LLMs, RAG, and orchestration patterns to automate finance workflows.
  • Develop high-impact predictive models, including time series forecasting and attrition prediction, to drive financial planning.
  • Build scalable AI/ML systems using software engineering best practices, including API development and modular design.
  • Establish and enforce MLOps best practices for deployment, monitoring, and governance of production AI systems.
  • Define the technical direction for AI/ML initiatives within the finance organization and mentor other data specialists.

Requirements

  • 8+ years of experience in data science, software engineering, and AI engineering with a record of deploying production systems.
  • Deep expertise in predictive modeling, specifically time series forecasting and customer churn.
  • Advanced proficiency in Python and extensive experience with ML/AI frameworks.
  • Hands-on experience with LLMs, including prompt engineering, fine-tuning, and evaluation.
  • Strong experience with AWS, distributed systems, and MLOps practices.
  • Solid software engineering foundation, including Docker, Kubernetes, and CI/CD pipelines.

Nice to have

  • Expertise in multi-agent orchestration and autonomous workflows.
  • Experience with vector databases and semantic search architectures.
  • Deep understanding of responsible AI, including model alignment and bias mitigation.

Culture & Benefits

  • Medical, Dental, and Vision Insurance with Telehealth coverage.
  • 401(k) matching program.
  • Flexible-first culture with work-from-home opportunities and flexible schedules.
  • Open Time Off in addition to 10 paid holidays.
  • Adoption assistance and fertility treatments.

Hiring process

  • Application review by the Talent Acquisition and hiring teams.
  • Initial Zoom interview with a Talent Acquisition Partner.
  • Technical and cultural interviews with the hiring manager and team (maximum of 5 interviews).

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