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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Lead AI Research Scientist - Foundation Models & Agentic AI - **Company:** Wells Fargo - **Location:** Tempe, AZ, United States - **Experience:** Expert - **Salary:** $185,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Code Review, Collaborative Software, Machine Learning, Tensorflow, Google Cloud, GitHub Copilot, Pytorch, Large Language Models, Generative AI, Information Technology, HuggingFace, Free and Open-Source Software, Hardware Infrastructure, Virtual Agents, GPT, Software Version Control - **Published:** June 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=04eba7a0edf16666 ## About the Role Do you have experience in Quantitative analysis?, * 7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education * Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science, * PhD in Computer Science, Artificial Intelligence, or a closely related computational field, or an MSc with at least 3 years of relevant applied research / research innovation or industry experience building foundational models. * Solid proven research track record with publications in top-tier AI/ML conferences such as NeurIPS, ICML, ICLR, NAACL, or EMNLP, combined with a demonstrated interest in translating research into real-world applications that impact millions of customers. * Deep expertise in one or more specialized areas, including but not limited to: Foundation Models (GPT-4, BERT, LLaMA, Claude), Large Language Models (LLMs), Large Reasoning Models, Multimodal Models, Agentic AI * Demonstrated ability to apply GenAI / Agentic AI in the full build lifecycle - design, implementation, testing, and iteration - leveraging AI coding copilots (e.g., GitHub Copilot) and agentic coding workflows to accelerate delivery while maintaining enterprise standards * Hands-on experience with GPU infrastructure, Transformer architecture, modern AI/ML development frameworks and tools such as TensorFlow, PyTorch, Hugging Face, AWS, GCP. * Strong engineering background with demonstrated ability to contribute to collaborative software engineering projects, including version control, code reviews, and scalable system design. * Experience with transferring foundation models, LLMs, and agentic AI systems in production ## Description * Lead end-to-end research projects in Agentic AI / AI / Generative AI / Machine Learning from ideation, research, experimentation, implementation, evaluation, transfer and documentation. * Contribute and lead building the next generation of foundation models and agentic AI systems trained / operating on large volumes of heterogeneous data - both structured and unstructured - that enhance Wells Fargo's products, services, and operations. * Lead the deployment of foundation models, LLMs, and agentic AI systems into production, with a strong understanding of deployment trade-offs. * Drive the exploration, application, and rigorous evaluation of emerging AI technologies that solve real-world challenges. * Collaborate closely with interdisciplinary teams, including researchers, data scientists, applied engineers, and domain experts. * Translate research insights into impactful business solutions, open-source contributions, patents, and publications. * Publish in top-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community. ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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