Wells Fargo · 4 hours ago
Senior Specialty Software Engineer (AI Engineering)
Wells Fargo is seeking a Specialty Senior Software Engineer - AI Engineering within the Digital Technology & Innovation organization. This role is key in developing the self-service MLOps framework and enabling enterprise-scale AI applications through hands-on engineering and modern AI development practices.
BankingFinancial ServicesFinTechInsurancePayments
Responsibilities
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
Qualification
Required
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
Preferred
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
Benefits
Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement
Company
Wells Fargo
Wells Fargo & Company is a financial services firm that provides banking, insurance, investments, and mortgage services.
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-10-06IPO
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