About The Position

Wells Fargo is seeking a Senior Lead Artificial Intelligence Solutions Consultant Architect to lead the architecture, design and execution of enterprise AI capabilities, with a focus on Generative and Agentic-AI technologies. This role will work and partner with cross-functional teams to build scalable, intelligent solutions that transform user experiences and operational efficiency across the enterprise.

Requirements

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

Nice To Haves

  • Experience with AI/ML architecture, solution design and delivery.
  • Proven expertise in transformer-based architecture (e.g., GPT, BERT, LLaMA ) and SLMs .
  • Strong proficiency in Python and ML frameworks such as PyTorch , TensorFlow , and Hugging Face Transformers .
  • Proven expertise in Generative AI ( LLMs , diffusion models, etc.) and Agentic AI (autonomous agents, multi-agent systems).
  • Hands-on experience with AI platforms (e.g., Google Vertex AI, Azure AI, AWS SageMaker , etc.), orchestration tools, and MLOps frameworks.
  • Serve as a Subject Matter Expert (SME) in AI architecture, guiding teams through complex design decisions and risk evaluations.
  • Strong understanding of data engineering, model lifecycle management, and AI governance.
  • Certifications in cloud engineering and architecture (e.g., Google Cloud Certified Professional Cloud Architect, Azure Solutions Architect Expert) preferred.
  • Publications, patents, or speaking engagements in AI-related domains preferred.
  • Advanced degree (MS/PhD) in Computer Science, AI, Machine Learning, or related field preferred.

Responsibilities

  • Architecture Leadership & Technical Oversight Lead the end-to-end architecture of enterprise-grade AI solutions, including Generative AI, Agentic AI, and hybrid systems.
  • Define and enforce architectural standards, best practices, and governance models.
  • Provide technical oversight across AI initiatives, ensuring scalability, security, and performance.
  • Strategic Governance & Thought Leadership Collaborate with cross-functional teams to align AI strategies with business objectives.
  • Influence and guide the enterprise AI roadmap, identifying opportunities for innovation and transformation.
  • Represent the AI function in strategic planning forums and executive reviews.
  • Executive Communication & Stakeholder Engagement Translate complex AI concepts into business-relevant narratives for C-level stakeholders.
  • Present solution architectures, value propositions, and impact assessments to executive leadership.
  • Build trust and credibility through clear, confident, and compelling communication.
  • Mentorship & Enablement Mentor and coach junior architects, data scientists, and engineering teams.
  • Foster a culture of continuous learning and experimentation within the AI community.
  • Enable teams through architectural reviews, design sessions, and hands-on guidance.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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