Principal Enigneer

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 organization’s transformation initiatives, you will leverage Generative AI to accelerate software development, enhance engineering productivity, and deliver innovative solutions. In 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 LM’s, 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, 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.

• 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:

• Bachelor’s or master’s 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

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs (https://www.wellsfargojobs.com/en/life-at-wells-fargo/benefits) for an overview of the following benefit plans and programs offered to employees.

• Health benefits

• 401(k) Plan

• Paid time off

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy (https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy) to learn more.