Generative AI Engineer

Generative AI Engineer Liquidity & Regulatory Compliance

Location:- Concord, CA

3+ days per week in office

Duration:- 6- 12 Months+

Job Title: Generative AI Engineer Liquidity & Regulatory Compliance

Job Summary

My client is 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.

1. 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 client s AI governance policies.

1. 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.

1. 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 client, 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, Google Cloud Platform).
• 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 modelling, 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.