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.

Platform Engineering & Hybrid AI Enablement

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.

Observability & Enterprise Governance

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.

API, Services & Tooling Development

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.

Collaboration & Influence

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.

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

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.

Desired Qualifications:

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.

Job Expectations:

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

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

For CA locations only- 143,000.00 - 224,000.00 USD Annual

For other locations- 119,000.00- 187,000.00 USD Annual

Benefits:

Information about Wells Fargo's US employee benefits

Information about Wells Fargo's International employee benefits

Posting End Date:

06 Feb 2026

*Job posting may come down early due to volume of applicants.

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

$119,000.00 - $224,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

Health benefits401(k) PlanPaid time offDisability benefitsLife insurance, critical illness insurance, and accident insuranceParental leaveCritical caregiving leaveDiscounts and savingsCommuter benefitsTuition reimbursementScholarships for dependent childrenAdoption reimbursement

Posting End Date:

5 Feb 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, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.