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Senior Lead Artificial Intelligence Solutions Consultant – AI Architect

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
United States , Charlotte ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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.

Job Responsibility:

  • 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
  • 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
  • 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
  • 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

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
  • 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
  • This position is NOT eligible for Visa sponsorship
  • Ability to work on site per Wells Fargo's standard operating model in the listed location (hybrid schedule – 3 days on-site & 2 remote)
  • The ability to travel up to 10% of the time

Nice to have:

  • 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
What we offer:
  • robust benefits
  • competitive compensation
  • programs designed to help you find work-life balance and well-being
  • rewarded for investing in your community
  • celebrated for being your authentic self
  • empowered to grow

Additional Information:

Job Posted:
March 22, 2026

Expiration:
March 25, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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