AI Systems Operations Engineer Enterprise Video Services, Wello, and Brand & Sponsorship Platforms

Lead Software Engineer - Enterprise Video Services, Wello, and Brand & Sponsorship Platforms
As a Lead Software Engineer supporting Enterprise Video Services, Wello, and Brand & Sponsorship platforms, you will drive the design and delivery of scalable, secure solutions that enable enterprise video streaming, on-demand content, and brand asset management.
You will lead hands-on engineering across platforms supporting webcast streaming, video content management, digital asset governance, and sponsorship activations ensuring high reliability, performance, and alignment with enterprise standards.
Partnering with Marketing, Corporate Communications, Product, Architecture, and Risk & Compliance, you will translate business needs into well-architected solutions across live/VOD delivery, content lifecycle management, and platforms such as Wello and Brand Central.
This role combines deep technical ownership with engineering excellence to improve platform reliability and enable faster, more effective content creation and distribution at scale.
In this role, you will:

• Lead complex, broad impact initiatives including provision of high-level systems consultation for the technology teams
• Work as key participant in large scale planning of computer systems and network infrastructure for Systems Operations functional area
• Review and analyze complex technical challenges, as well as escalated support issues related to core business solutions that require in depth evaluation of multiple factors, such as alternatives, enhancements, periodic systems reviews, or improvements to existing systems
• Make decisions on technical changes and enhancements
• Consult with engineering team on change design requiring solid understanding of technical process controls or standards that influence and drive new initiatives
• Collaborate and consult with technical peers, colleagues, and mid to more experienced level managers to resolve systems support issues and achieve goals
• Design, build, and deploy AI-enabled applications using Wells Fargo-approved enterprise AI platforms and tooling (e.g., Tachyon, Devin, Codequest and Copilot-based capabilities, and AI development hubs) to solve business and operational problems.
• Develop and integrate Retrieval-Augmented Generation (RAG), prompt engineering, and model orchestration patterns within approved enterprise environments.
• Collaborate with architecture, data, cybersecurity, and risk partners to ensure AI solutions align with enterprise architecture standards, security controls, and model governance expectations.
• Apply AI responsibly by incorporating model risk management, data privacy, explainability, and ethical AI considerations throughout the solution lifecycle.
• Support experimentation and prototyping in secure, sandboxed environments and transition validated solutions into production-ready implementations.
• Contribute to reusable AI assets, patterns, and best practices to accelerate enterprise adoption while maintaining consistency and compliance.
• Participate in design reviews, JAD sessions, and architecture or cyber tollgates to articulate AI design decisions and risk mitigations.

Required Qualifications:

• 5+ years of Systems Engineering, Technology Architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 2+ years of experience with AI or GenAI solutions within enterprise or regulated environments.
• 2+ years of experience with prompt engineering, LLM application development, or AI orchestration frameworks

Desired Qualifications:

• Strong software engineering fundamentals (e.g., API development, version control, CI/CD concepts).
• Experience collaborating across product, architecture, cybersecurity, and risk stakeholders.
• Direct experience working with Wells Fargo-approved AI platforms and tools such as Tachyon, Devin, Codequest, CoPilot-based tooling and other internal GenAI development ecosystems or sanctioned AI productivity solutions.
• Experience implementing RAG architectures, secure data access patterns, and model evaluation approaches.
• Familiarity with AI governance, model risk management, and enterprise control frameworks.
• Experience contributing to platform-level AI capabilities or shared enterprise services.
• Bachelor's degree in computer science, Engineering, Data Science, or related technical field, or equivalent practical experience.

Job Expectations and Core Values:

• Be Humble: You're smart yet always interested in learning from others.
• Work Transparently: You always deal in an honest, direct, and transparent way.
• Take Ownership: You embrace responsibility and find joy in having the answers.
• Learn More: You regularly self-educate and improve your skill set.
• Show Gratitude: You show appreciation and respect to those you work with.

IMPORTANT: Charlotte NC is the only location being considered for this role!
This Hybrid Job with 3 days a week in office.
There is no relocation assistance available for this role.
Posting End Date:
13 Aug 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 .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our 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.
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