Principal Engineer - Predictive AI

About this role: Wells Fargo is seeking a Principal Engineer - Predictive AI. In this role, you will: Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups 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 Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership Required Qualifications: 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 5+ years' hands on programming and/or scripting experience in one or more of the following: Java, Python, Shell scripting etc. 5+ years’ experience with Infrastructure as code (IaC) implementation using Terraform, Cross plane or any other industry equivalent solutions. 5+ years’ experience with OpenShift Container Platform and/or Google Cloud Platform, and/or Microsoft Azure hands on experience. 5+ years’ experience with enterprise grade automation solutions design and implementation experience using tools such as Ansible, Harness CD, GitHub Actions, Playwright etc. 2+ years of experience with AI, Gen AI, Agentic automation solutions design and development. Excellent communication and stakeholder management skills. Demonstrated ability to lead complex projects with limited supervision and high accountability. Experience with Generative AI, RAG pipelines, and agentic AI systems. Exposure to Google Cloud Platform: Vertex AI, Agentspace, MCP, A2A exposure. Cloud certifications preferred, AWS, GCP, Azure or Generative AI Leader. Deep understanding of LLMs, prompt engineering, vector databases, and orchestration tools. Expertise in cloud AI platforms (GCP Vertex AI, Azure ML), On-Prem AIML systems, and MLOps frameworks. Strong programming skills (Python, SQL/NoSQL) and experience with ML frameworks (TensorFlow, PyTorch). Proven track record in enterprise-scale AI deployments, model migration projects, and innovation initiatives. 2+ years of experience building full stack Agentic AI Automations (from chat experiences to muti-agent systems) using Agentic AI Frameworks like LangGraph, Crew AI, Microsoft AutoGen, LangChain, Chainlit Posting End Date:   13 Aug 2026 *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,