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Wells Fargo is seeking a Forward-Deployed AI Engineer to support the design, development, and deployment of enterprise-scale Artificial Intelligence solutions. This role sits at the intersection of advanced AI platforms, enterprise technology, and business problem-solving. The engineer will work closely with business partners, product teams, and engineering organizations to translate complex and often ambiguous requirements into secure, scalable, and production-ready AI solutions that deliver measurable business outcomes.
This is a hands-on, customer-embedded engineering role that requires strong technical depth, a product-oriented mindset, and the ability to operate effectively in a regulated enterprise environment. You will partner with business stakeholders, product owners, and engineering teams to understand business problems, identify AI-enabled opportunities, and define end-to-end technical solutions. You will design, prototype, and deliver AI-driven workflows, agents, copilots, and automations using large language models (LLMs) and enterprise AI services.
The role involves integrating AI capabilities with enterprise platforms and systems such as ServiceNow, Salesforce, data platforms, and internal services using secure APIs and orchestration patterns. You will rapidly iterate on prototypes and transition them into production-ready solutions that meet enterprise standards for reliability, scalability, and supportability. Acting as a technical bridge between business, product, data, security, and engineering teams, you will ensure seamless collaboration and delivery of AI-powered solutions that drive business value.
Candidates should possess strong experience in AI/ML engineering, particularly with LLMs and generative AI technologies. Experience with enterprise integration patterns, API development, and secure software development practices is essential. The ideal candidate thrives in ambiguous environments and can translate business needs into technical solutions.