Principal Engineer
About The Position
Wells Fargo is seeking a Principal Engineer to lead the design, development, and delivery of Generative AI (GenAI) and Agentic AI solutions across enterprise platforms. This role will operate as a senior technical leader responsible for shaping enterprise AI strategy, driving complex engineering initiatives, and delivering scalable, secure, and high-performing AI-powered solutions. The Principal Engineer will bring deep expertise in full-stack engineering, modern cloud platforms, and agent-based architectures, enabling intelligent, multi-agent systems that deliver automation, decision support, and enhanced customer and employee experiences.
Requirements
- 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 5+ years of experience in full-stack development (Java, Spring Boot, Node.js, Python)
- 5+ years of experience with cloud platforms (GCP, AWS, or Azure)
- 1+ year of hands-on experience building and deploying GenAI or conversational AI solutions
- 1+ year of strong understanding of microservices architecture, APIs, and distributed systems
- 1+ year of experience with LLM-based systems, prompt engineering, or RAG architectures
Nice To Haves
- Experience with Agentic AI frameworks (LangChain, LangGraph, CrewAI, or similar)
- Experience with Vertex AI, OpenAI, or similar GenAI platforms
- Background in contact center or conversational AI domains (IVR, IVA, Agent Assist)
- Experience designing multi-agent systems with planning, reasoning, and tool orchestration
- Knowledge of AI governance, model risk management, and enterprise compliance practices
- Strong ability to influence across organizations and communicate complex technical concepts
Responsibilities
- Act as a trusted technical advisor to senior leadership and influence enterprise-wide technology strategy and AI adoption
- Lead the design and implementation of GenAI and Agentic AI architectures, including multi-agent orchestration, planning, and tool-based execution
- Drive development of end-to-end full-stack solutions, including front-end applications, backend services, APIs, and cloud-native platforms
- Build and scale AI-powered applications, including virtual assistants, agent assist solutions, and workflow automation systems
- Design and implement RAG pipelines, prompt engineering frameworks, and AI evaluation mechanisms
- Lead integration of AI solutions with enterprise platforms, APIs, and external systems
- Establish and enforce best practices for software engineering, AI governance, and platform reliability
- Provide technical leadership across multiple teams, ensuring solutions are scalable, reusable, and aligned to enterprise standards
- Collaborate with product, data science, and business teams to translate requirements into innovative engineering solutions
- Mentor engineers and promote engineering excellence across the organization
Benefits
- Relocation assistance is not available for this position
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
