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Generative AI Engineer

Shimento, Inc.
Concord, CA Full Time
POSTED ON 3/1/2025
AVAILABLE BEFORE 5/25/2025

Job Summary

We are seeking a Generative AI Engineer to join our team and drive AI innovation in the Liquidity Management & Regulatory Compliance space. The ideal candidate will have at least 2 years of hands-on experience in Generative AI and 4 years of experience in Machine Learning (ML) and Deep Learning (DL) . This role will focus on compliance, contract lifecycle management, and regulatory alignment , ensuring that AI-driven solutions meet the highest standards of governance and safety within a highly regulated financial environment.

Key Responsibilities

1. AI Development & Implementation

  • Design, develop, and deploy Generative AI models (LLMs, NLP, and other deep learning frameworks) to automate and enhance liquidity management, risk assessment, and compliance workflows.
  • Build AI-driven solutions for contract lifecycle management , optimizing document processing, policy interpretation, and regulatory reporting.
  • Fine-tune and adapt Large Language Models (LLMs) to align with financial regulations, bank policies, and risk management frameworks.

2. Compliance & Regulatory Alignment

  • Ensure AI models adhere to financial industry regulations (Basel III, Dodd-Frank, SR 11-7, OCC guidelines, etc.) and internal risk frameworks.
  • Work closely with Legal, Compliance, and Risk teams to integrate AI solutions while maintaining model transparency and explainability.
  • Support AI model validation, bias detection, and risk mitigation strategies to align with Wells Fargo’s AI governance policies .
  • 3. AI Model Risk & Governance

  • Develop rigorous documentation and model audit trails to comply with regulatory requirements.
  • Monitor AI model drift, fairness, interpretability, and security , ensuring ethical AI usage in financial decision-making.
  • Implement AI safety and bias mitigation techniques to align with responsible AI principles.
  • 4. Collaboration & Stakeholder Engagement

  • Partner with Liquidity Risk, Treasury, and Compliance teams to identify AI-driven efficiencies in liquidity forecasting and regulatory reporting.
  • Work with IT, Data Science, and Risk Management teams to deploy AI solutions in production while ensuring robust monitoring and security.
  • Contribute to AI research and innovation within Wells Fargo, staying ahead of emerging AI regulations and industry best practices .
  • Required Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, or a related field.
  • 2 years of hands-on experience with Generative AI, LLMs, and NLP-based models (e.g., GPT, BERT, Llama, T5).
  • 5 years of experience in Machine Learning (ML), Deep Learning (DL), and AI model deployment .
  • Expertise in compliance-driven AI solutions and working within highly regulated environments (preferably in banking / finance).
  • Proficiency in Python, TensorFlow, PyTorch, LangChain, Hugging Face, and cloud AI services (AWS, Azure, GCP) .
  • Strong knowledge of AI safety, explainability, and ethical AI principles .
  • Experience with AI model governance, validation, and bias mitigation techniques .
  • Preferred Qualifications

  • Prior experience working in liquidity management, risk modeling, or regulatory compliance .
  • Knowledge of financial regulations related to AI applications in banking (e.g., SR 11-7, OCC AI guidelines).
  • Hands-on experience with contract lifecycle automation using AI-driven solutions.
  • Familiarity with MLOps frameworks and model monitoring best practices.
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