Wells Fargo · 1 day ago
Principal Engineer - Generative AI Solutions
Irving, TX
Full-time
Onsite
Senior Level, Lead/Staff
7+ years expWells Fargo is 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 build intelligent applications and involves guiding a team of engineers and driving technical direction.
BankingFinancial ServicesFinTechInsurancePayments
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
Qualification
Required
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
Preferred
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
Company
Wells Fargo
Wells Fargo & Company is a financial services firm that provides banking, insurance, investments, and mortgage services.
10001+ employees
H1B Sponsorship
Wells Fargo has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-10-06IPO
Leadership Team
Charlie Scharf
CEO
Fernando Rivas
CEO of Corporate & Investment Banking
Recent News
2026-01-05
2026-01-05
Maryland Daily Record
2026-01-03
Company data provided by crunchbase