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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.
Posting End Date:
15 Mar 2026
*Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo (https://www.wellsfargojobs.com/en/diversity/disability-inclusion/) .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy (https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy) to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
Req Number: R-505542
