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The Guardian Life Insurance Company of America

AI Solutions & Finance Modeling Lead

The Guardian Life Insurance Company of America

full time · Lead / Staff / Principal

$118,980 – $195,465

Listed on The Guardian Life Insurance Company of America’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

Guardian is looking for a technical leader to build AI-powered financial planning solutions that combine Oracle EPM modeling with modern AI agents and machine learning. This role suits someone who can architect intelligent automation for forecasting and analytics while maintaining governance and training teams on emerging technologies.

Our summary, not The Guardian Life Insurance Company of America’s wording. The full posting is on their site.

What they ask for

Required

  • 2+ years working with AI/ML technologies including LLMs and AI agent development
  • Proficiency in Groovy scripting and AI coding assistants
  • Experience with AI platforms such as Anthropic, OpenAI APIs, Azure OpenAI Service, or Microsoft Copilot Studio
  • Strong SQL skills and experience with data integration tools
  • Python proficiency for AI/ML work
  • Understanding of machine learning concepts including supervised learning, time series forecasting, and NLP
  • Experience with cloud platforms and their AI services
  • Ability to design and implement AI agents and chatbots
  • Knowledge of RAG architectures and vector databases
  • Understanding of AI model evaluation and performance monitoring
  • Strong FP&A process knowledge and financial modeling experience
  • Excellent communication skills explaining AI concepts to non-technical audiences
  • Ability to work independently and manage multiple initiatives
  • Experience in cross-functional collaboration

Nice to have

  • 5+ years hands-on experience with Oracle EPM Planning (PBCS/EPBCS)
  • Experience in financial services or insurance industry
  • Familiarity with AI ethics, bias detection, and responsible AI practices
  • Experience with low-code/no-code AI platforms

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