Lead Software Engineer – GenAI-Assisted & Autonomous Engineering
Wells Fargo1 day ago
Charlotte, NC, USA or Irving, TX, USAStaff+
Responsibilities
- Lead the design, development, integration, deployment, and scaling of enterprise AI-assisted and autonomous engineering solutions.
- Roll out and optimize GitHub Copilot, Devin, Claude Code, Cursor, and future AI engineering platforms across the enterprise.
- Integrate GenAI capabilities into SDLC workflows, CI/CD pipelines, developer platforms, repositories, APIs, and engineering toolchains.
- Build reusable engineering services, accelerators, frameworks, and enterprise capabilities that improve software delivery efficiency.
- Lead developer onboarding, technical enablement, training, adoption efforts, prompt-engineering practices, and AI-powered workflow integration.
- Design and operationalize Agentic AI, multi-agent systems, autonomous workflows, MCP integrations, and AI orchestration solutions.
- Monitor platform adoption, utilization, performance, costs, productivity, developer output, efficiency gains, and business outcomes.
- Provide hands-on troubleshooting, performance optimization, and technical guidance to engineering teams.
- Ensure solutions meet enterprise architecture, security, governance, compliance, and Responsible AI requirements.
- Contribute to InnerSource initiatives and mentor teams while collaborating with product, platform, architecture, technology leadership, and external industry groups.
Requirements
- At least 5 years of software engineering experience or equivalent experience, training, military experience, or education.
- At least 5 years of experience developing enterprise applications using Java, Python, or comparable technologies.
- At least 1 year of experience with AI-assisted or autonomous software engineering platforms such as GitHub Copilot, Devin, Claude Code, Cursor, or similar tools.
- At least 1 year of experience building and deploying AI-powered applications using LLMs and Generative AI technologies.
- Experience designing and implementing distributed systems, APIs, microservices, and event-driven architectures.
- Hands-on experience with CI/CD pipelines, source control platforms, developer tooling, and software engineering best practices.
- Experience with cloud-native technologies and containerized platforms.
- Strong technical leadership, problem-solving, collaboration, enablement, and AI platform training skills.
- Knowledge of Agentic AI, RAG, fine-tuning, prompt engineering, multi-agent architectures, MCP integrations, scalable AI platforms, software engineering analytics, developer productivity measurement, GenAI FinOps, cost management, and value realization frameworks.
- Experience in highly regulated enterprise environments with governance, security, and compliance requirements is preferred.
Benefits
- Hybrid work schedule.
- This position is not eligible for visa sponsorship.
- This position is not eligible for relocation assistance.
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About Wells Fargo
Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.