Principal Enigneer

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 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 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: 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