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Principal Engineer - Generative AI Solutions
Principal Engineer - Generative AI SolutionsWELLS FARGO BANK • IRVING, Texas, United States of America
Principal Engineer - Generative AI Solutions

Principal Engineer - Generative AI Solutions

WELLS FARGO BANK • IRVING, Texas, United States of America
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  • [job_card.full_time]
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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
Required Qualifications:
  • 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
Desired Qualifications:
  • 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 offraud management tools and techniques
  • Proven ability to influence and build trust across organizational boundaries
Job Expectations:
  • This position is not eligible for work visa sponsorship.
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.
$159,000.00 - $305,000.00
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
  • 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
Posting End Date:
14 Nov 2025
* Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

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