Generative AI - Lead software engineer

About the Role

Key Responsibilities

• Build Large Language Model (LLM) powered applications supporting internal Wells Fargo users, focusing on agentic workflows, prompt engineering, evaluations, model feedback and tuning mechanisms, and safety guardrails.
• Build systems utilizing Large Language Models (LLM) involving data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementation.
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives and technical challenges requiring in-depth evaluation.
• Provide engineering support for AI-driven solutions that enhance and streamline work processes, ensuring applications are reliable, secure, and scalable.
• Act as a thought leader in developing standards and enterprise best practices for engineering complex and large-scale technology solutions.
• Design, code, test, and document solutions that align with product-specific and enterprise-wide goals.
• Lead the development of frameworks and solutions providing vertical support to specific products and horizontal capabilities across multiple platforms.
• Collaborate and consult with technical experts, senior teams, and external groups to resolve complex technical issues and achieve goals.
• Lead projects, teams, and serve as a peer mentor.
• Stay current on emerging AI technologies to contribute to future strategy development.

Requirements

• 5+ years of Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education.
• 5+ years of experience in backend application software development with the ability to quickly adapt Python code base.
• 2+ years of experience with Retrieval-Augmented Generation (RAG), prompt engineering, and agentic workflows.

Nice to Have

• Deep knowledge of implementing guardrails and advanced techniques for query enrichment and re-writing.
• Expertise in test or eval driven development including data and error analysis ensuring robust and scalable AI software.
• Experience architecting and implementing agentic frameworks for autonomous multi-step reasoning and planning.
• Solid grasp of parsing, chunking, indexing, and re-ranking of multiple file formats.
• Experience with Generative AI Operations and enterprise-scale AI adoption strategies.
• Familiarity with enterprise-scale software systems and their integration within large organizations.
• Experience in enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies.
• Strong understanding of human-centered AI design for workplace applications.
• Proven ability to work across multiple teams and functions to drive alignment and execution.
• Demonstrated success in designing usability and delivering seamless user experiences.
• Excellent collaboration, communication, and problem-solving skills.

Qualifications

• Educational background or formal qualifications are not explicitly specified in the description.

Benefits & Perks

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement