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Wells Fargo · 1 month ago

Senior Lead Artificial Intelligence Solutions Consultant – AI Architect

CHARLOTTE, NC

Full-time

Hybrid

Senior Level, Lead/Staff

7+ years exp

Wells Fargo is a global trailblazer committed to driving innovation and empowering communities. They are seeking a Senior Lead Artificial Intelligence Solutions Consultant Architect to lead the architecture, design, and execution of enterprise AI capabilities, focusing on Generative and Agentic-AI technologies.

BankingFinancial ServicesFinTechInsurancePayments

No H1B

Responsibilities

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

Qualification

AI/ML architectureGenerative AIPythonMLOps frameworksTransformer-based architectureAI platformsData engineeringCloud engineering certificationsExecutive communicationMentorship

Required

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

Preferred

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