Wells Fargo is seeking a Lead Specialty Software Engineer in Technology as part of Commercial and Corporate & Investment Banking Technology (CCIBT). This is an exciting opportunity to join the team building next‑generation solutions for the Wells Fargo Capital Markets Technology organization. We are seeking a Lead Specialty Data Engineer to play a key role in our automation, AI adoption, and platform modernization journey. If you are passionate about solving complex, mission‑critical problems using leading‑edge technologies, advanced analytics, and AI‑assisted engineering practices—grounded in strong software engineering fundamentals—this role is well suited for you. In this role, you will help build and evolve strategic trading analytics data platforms, including the Low Touch Data Hub and the next‑generation Equities Data & Analytics platform supporting all Equities Front Office trading groups. You will contribute to the design and delivery of scalable application frameworks and data services within Commercial and Corporate & Investment Banking Technology, enabling advanced analytics, AI‑driven insights, and automation across the Equities trading lifecycle. This role defines and governs enterprise‑standard AI‑assisted engineering patterns, including prompt‑driven development, automated testing, diagnostics, documentation, and developer‑productivity tooling. You will architect and guide controlled LLM integrations —such as MCP‑based services —across development workflows, observability, and automation, while establishing guardrails to ensure secure, explainable, auditable, and compliant AI usage within electronic trading technology. In partnership with platform, security, risk, and compliance teams, you will ensure AI‑enabled engineering practices meet Wells Fargo governance standards and continuously evaluate advances in GenAI, agentic AI, and applied ML to safely evolve engineering capabilities at enterprise scale. This role supports a fast‑paced Front Office equity trading environment, delivering senior‑level software and analytics solutions for trading, automation, and decisioning. You will build AI‑enabled analytics platforms and low‑latency systems, apply AI‑centric engineering practices, and write high‑quality Java and Python code while partnering closely with traders, Strats, and quants. The role includes technical leadership, rigorous testing and reviews, production reliability ownership, and Level‑2 support for performance, data, and model‑driven issues. Learn more about career areas and lines of business at wellsfargojobs.com.
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Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
Number of Employees
5,001-10,000 employees