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

About This Role 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 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 Responsibilities

• Define and govern standard patterns for AI-assisted and LLM-based software development, including prompt-driven development, automated test generation, diagnostics, documentation, and developer productivity tooling
• Architect and guide enterprise-standard LLM integrations, including MCP-based services, used across development tooling, system observability, and controlled automation
• Establish and enforce guardrails for reliable, explainable, auditable, and secure AI usage within electronic trading technology
• Partner 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 management
• Continuously 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 Responsibilities Candidates 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 workflows
• Lead the design and implementation of AI-enabled analytics platforms, including data pipelines that support machine learning, GenAI, and advanced quantitative models
• Apply 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 automation
• Provide mentorship and technical leadership to data, analytics, and software engineers in a high-performing Agile environment
• Work directly with traders, Strat teams, and quants to understand requirements and translate them into robust, scalable technical solutions
• Create thorough system and application designs that integrate cleanly into existing low-latency and distributed architectures
• Write high-quality, performant, and maintainable code in Java and Python, applying object-oriented principles, design patterns, and modern server-side architectures
• Design systems that support time-series analytics, model lifecycle management, and real-time decisioning use cases
• Perform rigorous unit testing, documentation, and code reviews, including validation of AI-assisted outputs for correctness, reproducibility, and explainability
• Solve complex technical and analytical problems requiring a strong understanding of equities trading workflows and business domains
• Ensure quality, extensibility, and reliability of low-latency, highly available applications in production
• Provide Level 2 production support as required, including diagnosis of data quality, performance, and model-driven issues

In this role, you will

• Lead moderately complex initiatives and deliverables within Equities Trading and Analytics technology environments
• Contribute to large-scale platform strategy, including modernization, automation, and responsible AI adoption
• Design, code, test, de…