Principal Engineer – Generative AI Solutions

Wells Fargo Bank • Irving, TX

1d • Onsite

About The Position

About this role: The COO Technology group provides technology services for the Chief Operating Office. This includes operations, control executives, strategic execution, business continuity and resiliency, data solutions and services, regulatory relations, customer experience, enterprise shared services, supply chain management, and the corporate properties group. COO Technology provides technology solutions and manages application portfolios for these groups to support modernization and optimization. Within COO Technology we are seeking a highly skilled and motivated Principal AI Engineer to spearhead the development and implementation of cutting-edge Generative AI solutions. This role will focus on fine tuning and training LLM-based models to enable Agentic AI Automation to build intelligent, innovative, and impactful applications. The ideal candidate will possess a strong background in AI/ML, a deep understanding of generative models, and proven experience in leading technical projects. You will be responsible for guiding a team of engineers, driving technical direction, and ensuring the successful delivery of high-quality AI solutions. In this role, you will: Design state-of-the-art data recipe for training and fine tuning LLM models using structured and unstructured datasets Train, fine tune, and evaluate the performance of the LLM-based models to enhance the agentic AI systems. Develop robust testing and validation procedures to ensure the quality, reliability, and security of AI solutions. Architect and implement context engineering services that effectively retrieve, process, structure, and integrate relevant information from diverse data sources to enhance the performance of generative models. 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 recommends 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

Requirements

• 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 7+ years of experience in Agile AI/ML model development
• 4+ years of experience in training SLM or fine tuning LLMs using SFT or RL methods
• 2+ years of experience in context engineering and LLM technologies, including crafting and optimizing information retrieval from large knowledge bases
• 1+ years experience with Agentic AI Automation and building autonomous AI systems

Nice To Haves

• Bachelor’s or Masters degree in Computer Science, Information Systems, or related field
• Proficiency in programming languages such as Python, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Transformers)
• Experience in evaluation and scoring LLM Chain-of-Thought and agent trajectories
• Experience in leveraging MLOps and LLMOps frameworks for observability, evaluation, and human-in-the-look interactions
• Experience with GCP cloud computing platform
• Experience with knowledge graphs and semantic search
• Experience in AI risk assessment, AI safety, and ethical considerations
• Experience deploying AI models using containerization technologies (e.g., Docker, Kubernetes)
• Excellent communication and presentation skills across technical and non-technical audiences
• Knowledge of fraud management tools and techniques
• Proven ability to influence and build trust across organizational boundaries

Responsibilities

• Design state-of-the-art data recipe for training and fine tuning LLM models using structured and unstructured datasets
• Train, fine tune, and evaluate the performance of the LLM-based models to enhance the agentic AI systems.
• Develop robust testing and validation procedures to ensure the quality, reliability, and security of AI solutions.
• Architect and implement context engineering services that effectively retrieve, process, structure, and integrate relevant information from diverse data sources to enhance the performance of generative models.
• 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 recommends 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees