Senior Software Engineer- AI

About this role: Wells Fargo is seeking a Senior Software Engineer. In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Approximately 4+ years of professional experience in software engineering or application development with a proven track record of delivering production‑quality systems Strong hands‑on experience with Java, Kafka, Python , and frameworks aligned with the team’s technology stack Demonstrated ability to apply AI‑assisted development practices at scale to improve engineering productivity, code quality, and reliability Practical experience using AI‑powered engineering tools (e.g., code assistants, automated testing tools, documentation generators, observability and troubleshooting assistants, or internal AI platforms) Solid understanding of the end‑to‑end software development life cycle (SDLC) and hands‑on experience working in Agile / DevOps delivery models Advanced proficiency with source control systems , CI/CD pipelines, and modern development workflows, including AI‑augmented reviews and automation Experience supporting deployments, upgrades, environment stability, and production operations , including on‑call or incident support Strong foundational knowledge of databases, APIs, distributed systems, messaging platforms, and system integrations Good awareness of security, risk, data privacy, compliance, and responsible AI usage , with the ability to apply these principles in design and implementation Ability to independently troubleshoot and resolve moderately complex technical issues , leveraging documentation, system telemetry, and AI‑assisted insights Demonstrated commitment to continuous learning , especially emerging AI technologies and patterns relevant to the engineering domain Strong communication skills with the ability to collaborate effectively with engineers, product partners, and stakeholders , and to mentor junior team members Job Expectations: Lead and contribute to moderate to high‑complexity technology initiatives , including new feature development, system enhancements, upgrades, and deployments Design, implement, test, debug, and document robust solutions , making informed architectural decisions within established guidelines Apply an AI‑first engineering mindset , proactively using approved AI tools for code generation, refactoring, reviews, testing, troubleshooting, and documentation while ensuring compliance with enterprise standards Drive adherence to engineering best practices , design patterns, coding standards, and responsible AI and data‑usage policies Identify, propose, and help implement improvements to service quality, performance, stability, scalability, and developer efficiency Independently investigate and resolve recurring and non‑trivial technical issues , leveraging both traditional debugging techniques and AI‑assisted analysis, and lead resolution efforts to meet SLAs Ensure security, compliance, and risk controls are embedded into design, development, and support activities, including appropriate handling of sensitive data when using AI tools Actively participate in and lead code reviews and technical design discussions , providing clear, constructive feedback Mentor and support junior engineers, sharing knowledge on technology, domain context, and effective use of AI tools Build strong domain expertise in the assigned business area and help identify AI use cases that create measurable technical or business impact Communicate technical status, risks, tra…