Principal AI Engineer

About this role:

Wells Fargo is seeking a Principal AI Engineer to join the CCIBT Gen AI team which is responsible for building AI frameworks intelligent agents and technology platforms that enable and accelerate AI-driven capabilities across CCIBT. As part of the organizations transformation initiatives you will leverage Generative AI to accelerate software development enhance engineering productivity and deliver innovative this role you will design develop and deploy cutting-edge artificial intelligence solutions using large language models (LLMs) agentic frameworks and other emerging technologies. You will be responsible for ensuring that AI solutions are designed and implemented in compliance with Wells Fargo enterprise architecture security risk governance and responsible AI standards. The ideal candidate will have experience building and operationalizing AI-powered applications with deep expertise in Agentic AI solutions Fine Tuning Retrieval-Augmented Generation (RAG) multi-agent frameworks scalable AI platform development and enterprise-grade AI governance and compliance.

In this role you will:

• Design develop and deploy AI applications using LMs agents agentic framework and other related technologies

• Collaborate with enterprise teams to integrate LLM models with the existing CCIBT products and systems

• Lead the design and development of scalable AI applications ensuring high performance accuracy and reliability

• Define benchmarks with metrics to evaluate the performance of agents and agentic frameworks

• Stay up to date with the latest advancements in AI LLM agentic frameworks and apply this knowledge to improve existing systems and develop new ones

• 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

• Act as an advisor to leadership to influence AI development strategies while creating reusable components and tools to enhance efficiency and scalability across CCIBT

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 software development

• 5 years of Java Python OpenShift containers and other relevant technologies

• 5 years of AI and ML concepts including deep learning natural language processing and computer vision

Desired Qualifications:

• Bachelors or masters degree in computer science artificial intelligence or a related field

• Hands-on experience designing and building Generative AI and Agentic AI solutions using Large Language Models (LLMs) multi-agent frameworks Retrieval-Augmented Generation (RAG) and AI orchestration platforms

• Experience with AI technologies and platforms such as Google Vertex AI Microsoft 365 Copilot Copilot Studio LangChain Google Agent Development Kit (ADK) AutoGen Semantic Kernel or similar frameworks for building enterprise-grade Generative AI and Agentic AI solutions

• Strong proficiency in software engineering using Python Java or other modern programming languages with experience building scalable production-grade applications and APIs

• Experience with cloud-native architectures microservices containerization technologies (Docker/Kubernetes) and CI/CD pipelines

• Knowledge of AI evaluation and benchmarking techniques model performance assessment and observability frameworks for production AI systems

• Excellent problem-solving and analytical skills with the ability to troubleshoot and resolve complex technical challenges in distributed and AI-driven systems

• Demonstrated ability to independently drive complex initiatives from conception to delivery with minimal guidance effectively navigating ambiguity influencing stakeholders and delivering measurable business outcomes

• Strong collaboration communication and stakeholder management skills with the ability to work effectively across engineering product architecture risk and business teams

• Demonstrated ability to drive innovation influence technical direction and mentor engineers in adopting modern AI and software engineering practices

Job Expectations:

• This position offers a hybrid work schedule

• This position is not eligible for Visa sponsorship

• Relocation assistance is not available for this position

Location:

125 High St. - Boston Massachusetts 02110

300 S Brevard Street Charlotte NC28202

150 E 42nd St. - New York NY 10017

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance skills experience or work location. Employees may also be eligible for incentive opportunities.

Posting End Date:

*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 units risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process visitDisability 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.