Wells Fargo
Senior Specialty Software Engineer - Enterprise Generative AI Platform UI and Python Engineering
Be an Early Applicant
About this role:
Wells Fargo is seeking a hands-on Senior Specialty Software Engineer within Digital Technology - AI Capability Engineering to build core user-facing experiences for the Enterprise Generative AI Platform, with strong emphasis on UI engineering, Python development, and enterprise AI application delivery.
This role is for an exceptional engineer who is heavy on UI, highly productive in Python, and capable of building polished, performant, and maintainable software across the full stack. The engineer will develop the user experiences and supporting service layers that power Enterprise Generative AI Platform products such as developer portals, AI chat and workflow interfaces, runtime dashboards, operational tooling, and agent-enabled product surfaces.
In this role, you will:
Required Qualifications:
Desired Qualifications:
Job Expectations
Wells Fargo is seeking a hands-on Senior Specialty Software Engineer within Digital Technology - AI Capability Engineering to build core user-facing experiences for the Enterprise Generative AI Platform, with strong emphasis on UI engineering, Python development, and enterprise AI application delivery.
This role is for an exceptional engineer who is heavy on UI, highly productive in Python, and capable of building polished, performant, and maintainable software across the full stack. The engineer will develop the user experiences and supporting service layers that power Enterprise Generative AI Platform products such as developer portals, AI chat and workflow interfaces, runtime dashboards, operational tooling, and agent-enabled product surfaces.
In this role, you will:
- Design, develop, test, and deploy software modules and platform capabilities for the Enterprise Generative AI Platform
- Build rich, responsive, and highly usable UI experiences for internal AI products, platform consoles, and workflow-driven applications
- Develop and maintain scalable applications using Python, APIs, microservices, and modern frontend technologies
- Engineer frontend components and interaction patterns for chat experiences, streaming responses, form-heavy workflows, dashboards, and control panels
- Collaborate with enterprise teams to integrate platform UIs with AI services, agent runtimes, model endpoints, orchestration services, and platform APIs
- Implement reusable components, UI state management patterns, and design-system-aligned development standards
- Optimize application performance across frontend rendering, service latency, API interactions, and user workflow responsiveness
- Build backend capabilities in Python that support frontend needs including orchestration endpoints, metadata services, execution tracking, and runtime status APIs
- Troubleshoot and resolve complex technical issues across UI and service layers
- Contribute to automated testing, code quality, documentation, and secure software delivery practices
- Stay up to date with advancements in Generative AI, agent frameworks, UI engineering, and Python ecosystem tooling
- Partner with product owners, architects, designers, and other engineers to translate product requirements into elegant technical solutions
- Assist and mentor other engineers in advanced software development and platform engineering best practices
Required Qualifications:
- 4+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 4+ years of software development experience
Desired Qualifications:
- 4+ years of experience in Python
- 3+ years of experience building modern web UI applications
- 2+ years of experience in AI/ML or Generative AI application development
- Experience building and integrating APIs, microservices, or event-driven backend services
- Strong UI engineering skills using technologies such as React, TypeScript, JavaScript, HTML5, CSS, and modern component-based design patterns
- Experience building enterprise-grade internal tools, platform portals, dashboards, and highly interactive application interfaces
- Strong Python development skills including frameworks, API development, async patterns, and service integration
- Familiarity with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Swarm, Google ADK, or equivalent
- Experience with chat applications, orchestration-driven UX, streaming responses, and workflow-based interfaces
- Exposure to OpenShift, Kubernetes, GCP public cloud, Azure, and modern DevOps practices
- Experience with Git, CI/CD, automated testing, and agile development methodologies
- Strong problem-solving skills with the ability to troubleshoot and resolve complex technical issues
- Strong collaboration and communication skills with the ability to work effectively with cross functional teams
- Bachelor's or master's degree in computer science, software engineering, artificial intelligence, or a related field
Job Expectations
- This position is not eligible for Visa sponsorship
- This position offers a hybrid work schedule
- Relocation assistance is not available for this position
Top Skills
APIs
CSS
HTML5
JavaScript
Microservices
Python
React
Typescript
Similar Jobs at Wells Fargo
Fintech • Financial Services
The Principal Engineer designs and operates multi-tenant enterprise data platforms, ensuring scalability, security, and performance for various data workloads. Responsibilities include leadership, architecture decisions, and overseeing platform lifecycle management.
Top Skills:
AirflowApache AtlasSparkDatahubGitopsIcebergKafkaKubernetesOpenshiftPostgresTerraformTrino
Fintech • Financial Services
Lead Software Engineer responsible for researching and developing cybersecurity technologies, focusing on post-quantum cryptography. Oversee implementation of advanced security solutions and lead complex initiatives.
Top Skills:
BlockchainCybersecurity TechnologiesDltKnowledge Graph TechnologyOptical CommunicationPost-Quantum Cryptographic AlgorithmsQuantum Key DistributionQuantum Random Number GenerationQuantum Security
Fintech • Financial Services
As an Associate Personal Banker, you will enhance customer relationships through proactive outreach, assist with account openings and service requests, and refer financial needs to other bankers as necessary while ensuring compliance with the SAFE Mortgage Licensing Act.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
