About this role:

Wells Fargo is seeking a Senior Software Engineer in Technology as part of Consumer Technology and Generative AI. The Consumer Technology team is building a new Generative AI Solution Engineering group, and we are looking for talented Senior Software Engineers to serve as key contributors to innovative, enterprise grade AI products. This is an opportunity to work on advanced technologies that will impact millions of customers and shape the future of financial services.

As a Senior Software Engineer, you will design, develop, test, and deploy sophisticated Generative AI applications. You will work within a dedicated engineering pod, partnering with technical leaders to translate architectural designs into robust, scalable, and secure software. This role requires hands on development experience and a strong interest in solving complex technical problems using modern AI capabilities.

In this role, you will:

• Lead moderately complex initiatives and deliverables within technical engineering environments
• Contribute to large scale planning of strategies across Consumer Technology
• Design, code, test, debug, and document applications and services including upgrades and deployments
• Review technical challenges that require in depth evaluation of technologies, procedures, and engineering approaches
• Resolve moderately complex issues while guiding teams to meet existing and emerging business needs
• Collaborate with peers, colleagues, and mid level managers to resolve technical challenges and meet project goals
• Lead projects and act as an escalation point, providing direction to less experienced engineers
• Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies
• Implement prompt engineering, retrieval augmented generation, fine tuning, and agentic design patterns
• Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards
• Troubleshoot complex application and model related issues and contribute to the continuous improvement of AI systems
• Assist and mentor engineers in advanced software development and AI engineering practices
• Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems

Required Qualifications:

• 4+ years of software engineering experience or equivalent through a combination of work experience, training, military service, or education
• 2+ years of experience working with Generative AI, large language models, or foundation models
• 2+ years of experience with either GCP, Azure, Kubernetes, or OpenShift
• 2+ years of experience with Python
• 2+ years of experience with REST API development and containerization technologies such as Docker and Kubernetes
• 2+ years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows
• Experience on UI/UX - React, Java script, MCP server, neo4j, MongoDB , Tachyon, GitHub, JIRA & OCP.

Desired Qualifications:

• Understanding of cloud security principles including identity and access management, encryption, and network security in public or hybrid cloud environments
• Experience working in highly regulated industries such as financial services
• Experience as a technical lead or architect, including mentoring senior engineers
• Experience integrating or contributing to open source AI or ML projects
• Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines
• Strong communication and documentation skills to collaborate across engineering, product, and oversight teams

Preferred Skills and Experience:

• Experience with Power Platform, including Power Apps and Dataverse
• Experience with UiPath or other enterprise automation tools
• Experience with LLM development using OpenAI, Anthropic, or Google Gemini models
• Experience with agentic frameworks and AI workflow orchestration
• Experience designing applications that incorporate retrieval augmented generation, fine tuning, and structured prompting
• Experience with vector databases and retrieval systems such as Elasticsearch, OpenSearch, Pinecone, or Weaviate
• Experience with LLM evaluation, observability, and monitoring including latency, cost, accuracy, grounding, drift detection, and safety assessments
• Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI or CD pipelines for AI services
• Familiarity with responsible AI principles, compliance, and governance processes related to AI systems in regulated environments

• Experience optimizing AI application performance including prompt efficiency, model selection, caching, batching, and cost management
• Experience on UI/UX - React, Java script, MCP server, neo4j, MongoDB , Tachyon, GitHub, JIRA & OCP.

Job Expectations:

• This position offers a hybrid work schedule
• Relocation assistance is not available for this position
• This position is not eligible for visa sponsorship

Locations:

• 300 S Brevard St, Charlotte, North Carolina 28202
• Columbus, Ohio

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

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 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

Posting End Date:

*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.