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

Job Summary

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.

Key Responsibilities

• 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)
• 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

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