Lead Specialty Software Engineer - E-Trading, Java, AI

About this roleThis 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 AI Java Software 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.AI‑Enabled Engineering and Platform ResponsibilitiesDefine and govern standard patterns for AI‑assisted and LLM‑based software development, including prompt‑driven development, automated test generation, diagnostics, documentation, and developer productivity toolingArchitect and guide enterprise‑standard LLM integrations, including MCP‑based services, used across development tooling, system observability, and controlled automationEstablish and enforce guardrails for reliable, explainable, auditable, and secure AI usage within electronic trading technologyPartner with platform, security, risk, and compliance teams to ensure AI‑enabled engineering workflows meet Wells Fargo standards for data protection, regulatory compliance, and model risk managementContinuously evaluate advances in GenAI, agentic AI, and applied machine learning to refine engineering practices and platform capabilities where appropriate(AI‑enabled development is considered a baseline capability across the engineering organization; this role ensures architectural consistency, operational safety, and enterprise scale.)Learn more about career areas and lines of business at wellsfargojobs.com.Key responsibilitiesCandidates applying for this position should be prepared to work in a fast‑paced Front Office software environment with the following expectations:Perform a senior‑level technical and analytics role developing software supporting equities trading, analytics, and automation workflowsLead the design and implementation of AI‑enabled analytics platforms, including data pipelines that support machine learning, GenAI, and advanced quantitative modelsApply an AI‑centric mindset by leveraging and enhancing developer productivity tools (e.g., GitHub Copilot, Claude Code) and building agentic AI workflows for testing, validation, monitoring, and operational automationProvide mentorship and technical leadership to data, analytics, and software engineers in a high‑performing Agile environmentWork directly with traders, Strat teams, and quants to understand requirements and translate them into robust, scalable technical solutionsCreate thorough system and application designs that integrate cleanly into existing low‑latency and distributed architecturesWrite high‑quality, performant, and maintainable code in Java and Python, applying object‑oriented principles, design patterns, and modern server‑side architecturesDesign systems that support time‑series analytics, model lifecycle management, and real‑time decisioning use casesPerform rigorous unit testing, documentation, and code reviews, including validation of AI‑assisted outputs for correctness, reproducibility, and explainabilitySolve complex technical and analytical problems requiring a strong understanding of equities trading workflows and business domainsEnsure quality, extensibility, and reliability of low‑latency, highly available applications in productionProvide Level 2 production support as required, including diagnosis of data quality, performance, and model‑driven issuesIn this role, you willLead moderately complex initiatives and deliverables within Equities Trading and Analytics technology environmentsContribute to large‑scale platform strategy, including modernization, automation, and responsible AI adoptionDesign, code, test, debug, and document solutions for platform enhancements, upgrades, and deploymentsReview and resolve moderately complex technical challenges requiring deep evaluation of distributed systems, data platforms, and AI‑enabled componentsApply strong understanding of business function, governance, policies, procedures, and compliance requirements when building AI‑assisted systemsCollaborate with peers, senior engineers, product partners, and mid‑level managers to achieve technology and business goalsAct as an escalation point and technical advisor, providing guidance to less experienced engineersRequired qualifications 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education5+ years of Software Engineering experience, with a strong focus on data‑intensive systems5+ years of experience building analytics platforms, data services, or data‑driven applications5+ years of experience with algorithms and data structures, particularly as applied to analytics and data processing4+ years of experience designing and implementing distributed data systems4+ years of experience with time‑series, relational, or analytical databases4+ years of experience in Java for building high‑performance backend and data services4+ years of experience in Python for analytics, data processing, and automationDesired qualifications:Advanced experience in capital markets business processesWorking knowledge of SEC, FINRA, and international regulatory considerations when building technology solutionsCash Equities an