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

Job description

**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, debug, and document solutions for platform enhancements, upgrades, and deployments - Review and resolve moderately complex technical challenges requiring deep evaluation of distributed systems, data platforms, and AI-enabled components - Apply strong understanding of business function, governance, policies, procedures, and compliance requirements when building AI-assisted systems - Collaborate with peers, senior engineers, product partners, and mid-level managers to achieve technology and business goals - Act as an escalation point and technical advisor, providing guidance to less experienced engineers **Required qualifications** - 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education - 5+ years of Software Engineering experience, with a strong focus on data-intensive systems - 5+ years of experience building analytics platforms, data services, or data-driven applications - 5+ years of experience with algorithms and data structures, particularly as applied to analytics and data processing - 4+ years of experience designing and implementing distributed data systems - 4+ years of experience with time-series, relational, or analytical databases - 4+ years of experience in Java for building high-performance backend and data services - 4+ years of experience in Python for analytics, data processing, and automation **Desired qualifications:** - Advance