About this role:
Wells Fargo is focused on unleashing the potential of G enerative AI to power the transformation of technology to redefine our internal customer experiences . Our culture is one of respect and collaboratio n. We value humility and believe in direct communication . Our team is inclusive, and our differing perspectives allow for better solutions . We are seeking an individual that is passionate about tackling challenges and are driven by execution. Together, we can help shape the endless possibilities of AI .
As part of Wells Fargo's GenAI Backend Orchestration team , you will be designing and building highly scalable and reliable s ystem interfaces, services , and applications that will drive the next generation of our internal enterprise-wide technology ecosystem . You will independently solve high impact, critical software/systems challenges and issues . As a member of this fast-moving and highly entrepreneurial team, you'll be able to say that you work for one of the world's largest Financial Services Organizations and contribute to innovation and development to best-in-class methodologies that drastically change d business as we know it .
We are seeking a Principal, Software Engineer with deep expertise in Generative AI, LLMs, and RAG frameworks to lead the design, development, and deployment of advanced AI systems within Enterprise Functions Technology (EFT) . This role involves architecting scalable solutions, integrating agentic frameworks, and mentoring engineering teams to push the boundaries of AI-driven innovation .
In this role, you will:
• Design, fine-tune, and deploy Generative AI models with a focus on RAG frameworks to enhance information retrieval and generation.
• Develop and optimize LLM-based agents for tasks like knowledge grounding, multi-step reasoning, and decision-making.
• Integrate external data sources with LLMs to build dynamic, context-aware systems.
• Architect scalable, distributed AI systems with a focus on performance, fault tolerance, and disaster recovery.
• Develop detailed design specifications, including modular, extensible, and functional components.
• Build proofs of concept to validate requirements and refine designs iteratively.
• Work cross-functionally to design solutions that address both functional and non-functional requirements.
• Drive technical direction for large-scale AI initiatives and mentor junior engineers.
• Establish best practices for building and maintaining AI-driven systems.
• Build systems that integrate with Large Language Models (LLM) and Vector Databases that support powerful generative AI capabilities for internal Wells Fargo users, involving data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementation.
• Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups.
• Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking.
• Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions.
• Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions.
• Maintain knowledge of industry best practices and new technologies and recommend innovations that enhance operations or provide a competitive advantage to the organization.
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership.
• Build systems that integrate with Large Language Models (LLM) and Vector Databases that support powerful generative AI capabilities for internal Wells Fargo users, involving data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementation.
• Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
• Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
• Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
• Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
• Maintain knowledge of industry best practices and new technologies and recommend innovations that enhance operations or provide a competitive advantage to the organization
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
• Required Qualifications:
• 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications:
• Strong experience with RAG frameworks, vector search technologies and knowledge grounding techniques and agentic workflows.
• Strong understanding of system design, non-functional requirements, and design patterns.
• 2+ years of experience with generative AI technologies, large language modeling (LLM), including retrieval-augmented generation (RAG) and agentic workflows.
• Deep experience with backend application software development, with ability to quickly adapt to C and Python code bases.
• Experience working in large-scale enterprise environments, preferably in the financial services industry.
• Familiarity with generative AI concepts such as Retrieval-Augmented Generation (RAG) and agentic workflows.
• Ability to design and manage databases and SQL to enable efficient data storage and retrieval.
• Familiarity with API gateways that support seamless communication between systems.
• Experience building reliable data ingestion pipelines that support secure and efficient data processing.
• Ability to orchestrate processes across integrated systems to enable robust workflows and seamless operations.
• Experience with test-driven development (TDD) methodologies to deliver high-quality, maintainable software.
• Ability to collaborate with cross-functional teams to align technical solutions with business goals and end-user needs.
• A strong focus on cybersecurity and risk management throughout the software development lifecycle.
• Passion for designing solutions that prioritize end-user experience and usability.
• Strong problem-solving skills and attention to detail in complex system design. Job Expectations:
• Be Humble: You're smart yet always interested in learning from others
• Work Transparently: You always deal in an honest, direct, and transparent way.
• Take Ownership: You embrace responsibility and find joy in having the answers
• Learn More: You regularly self-educate and improve your skill set.
• Show Gratitude: You show appreciation and respect to those you work with. At Wells Fargo, we value you for who you are and the potential you possess. Our innovative approach to work empowers individuals nationwide to express themselves, excel, and take bold steps. Recognizing each person's uniqueness brings out their utmost capabilities. Join us at Wells Fargo, where we strive to bring out your best by giving you ours in return.
• Visa Sponsorship is not available for this role with Wells Fargo.
• Compensation for this position is between $144,400 to $300,000 depending on experience and level of expertise.
• 3+ days per week in office.
• 10% travel to support business objectives. Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.
$144,400.00 - $300,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
• Health benefits
• 401(k) Plan . click apply for full job details
Date Posted: 24 April 2025
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