Senior Specialty Software Engineer (AI Engineering)

About this role:

Wells Fargo is seeking a Specialty Senior Software Engineer - AI Engineering within the Digital Technology & Innovation organization. This role plays a key part in developing the self-service MLOps framework, creating reusable AI engineering components, and enabling both real-time and batch inferencing for enterprise-scale AI applications. Expected to be hands-on engineering, cloud/on-prem integration, agentic AI frameworks, and modern AI development practices.

In this role, you will:

AI Engineering, Frameworks & TPOps Development

• Design, enhance, and maintain the Tachyon Predictive Ops (TPOps) self-service MLOps framework, enabling rapid experimentation, training, deployment, and monitoring of AI models.
• Build cloud-native MDLC (Model Development Lifecycle) capabilities including model registry, versioning, lineage, and reproducibility.
• Develop unified libraries, SDKs, and extensible components that accelerate both predictive and generative AI workflows.
• Implement reusable automation patterns for model training, validation, deployment, and governance.

• Contribute to the Unified & Managed Predictive AI Platform, spanning on-premise infrastructure, GCP, and upcoming Azure ML integration.
• Implement real-time and batch inferencing capabilities supporting instant prediction use cases and scheduled batch pipelines.
• Support hybrid AI delivery patterns-predictive ML, GenAI workflows, agentic systems, and multi-agent orchestration.

• Build strategic observability features including drift detection, performance optimization, and open-standards monitoring integrations.
• Collaborate with MLOps, platform engineering, and architecture to ensure compliance with enterprise governance and operational excellence requirements.

• Design and develop scalable APIs and microservices to expose AI capabilities to enterprise applications.
• Implement automation and CI/CD patterns enabling consistent deployments across hybrid compute environments.
• Develop prompt engineering standards and reusable blueprints for LLM-powered developer tools such as Copilot, Devin.AI, and agentic systems.

• Work with data scientists, engineers, and platform teams to integrate AI pipelines and frameworks across the enterprise.
• Provide hands-on guidance to junior engineers on modern AI engineering and platform development patterns.

• 4+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years hands-on experience with AI/ML development and modern ML frameworks.
• 2+ years strong programming skills in Python and/or Java.
• 2+ years in building APIs, frameworks, automation pipelines, or distributed systems.
• 2+ years experience with cloud platforms (GCP, Azure, AWS) or on-prem platforms such as Kubernetes or OpenShift.

• Experience developing MLOps frameworks, model lifecycle automation, or self-service developer platforms.
• Experience with Vibe Coding, coding with AI assistance patterns, or integrating AI co-developers into software engineering workflows
• Experience with GenAI and agentic frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
• Strong understanding of MDLC components like model registry, versioning, monitoring, and reproducibility.
• Experience with real-time inferencing systems, event-driven architectures, or high-throughput pipelines.
• Familiarity with cloud-native AI toolchains (Vertex AI, Azure ML) and observability stacks.
• Excellent analytical, problem-solving, and communication skills.

• This position is not eligible for Visa sponsorship or transfer of visa
• Ability to work on-site at approved location
• Relocation assistance is not available for this position

• Information about Wells Fargo's US employee benefits
• Information about Wells Fargo's International employee benefits