Senior Lead Artificial Intelligence Solutions Consultant - Data Science/Risk Management Consultant

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About this role:

Wells Fargo is seeking a Senior Lead Artificial Intelligence Solutions Consultant specializing in Data Science – Model Risk management, Generative AI (Gen-AI), Agentic AI solutions to drive innovation while ensuring robust governance and compliance. This role requires expertise in building and fine-tuning custom Small Language Models (SLMs) for specific business applications, implementing robust evaluation frameworks, and ensuring compliance with enterprise risk governance standards. The ideal candidate will also possess deep knowledge of prompt engineering concepts and strategies to optimize AI performance and reliability.

In this role, you will:

• Strategic Advisory – Act as an advisor to senior leadership. Develop or influence objectives, plans, specifications, resources, and long-term goals for highly complex business and technical needs that can be resolved through utilizing data-driven advanced analytical, statistical techniques, algorithms, or models.

• Cross-Functional Collaboration – Align AI solutions with governance. Collaborate with cross-functional teams—data scientists, risk managers, compliance officers—to align AI solutions with governance frameworks.

• Responsible AI Leadership – Promote ethical and transparent practices. Provide thought leadership on responsible AI practices, including transparency, accountability, and ethical considerations.

• Custom Model Development – Optimize domain-specific SLMs. Design, fine-tune, and optimize custom SLMs for domain-specific business use cases, ensuring alignment with operational and compliance requirements.

• Prompt Engineering – Enhance model accuracy and efficiency. Develop prompt engineering strategies to enhance model accuracy, contextual relevance, and efficiency across diverse applications.

• Model Validation – Ensure reliability through rigorous testing. Validate and benchmark AI models using advanced statistical techniques, stress testing, and drift detection methodologies.

• Risk Assessment – Evaluate fairness and robustness. Conduct model risk assessments focusing on fairness, explainability, robustness, and ethical compliance.

• Governance Documentation – Support regulatory compliance. Gather and document evidence for Model Risk Governance (MRG) submissions, ensuring adherence to regulatory and internal standards.

• Evaluation Pipelines – Monitor AI lifecycle performance. Build evaluation pipelines for Generative and Agentic AI systems, including lifecycle monitoring and performance audits.

• Regulatory Alignment – Partner for compliant AI deployments. Partner with technology and legal teams to ensure AI deployments meet enterprise risk and regulatory expectations.

Required Qualifications:

7+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Experience with Data Science, quantitative modeling, and model risk management.

• Deep experience with Gen-AI and Agentic AI solutions design, model development and validation.

• Hands-on experience with Generative AI (LLMs, NLP, diffusion models, etc.) and Agentic AI architectures (autonomous/multi-agent systems).

• Ability to