Senior Lead Artificial Intelligence Solutions Consultant - AI Architect

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About this role:
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.
In this role, you will:
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.

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 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.

Job Expectations:

• 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.

Posting Location:

• Charlotte, NC
• Irving, TX

The Global Operations functions adhere to a location strategy; therefore, your candidacy may be determined based on your current location. Remote work locations are not available for these roles, so if you are not in a location listed on the posting, you must commit to self-relocation within an agreed upon timeframe.