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Wells Fargo

Lead Specialty Software Engineer

Wells Fargo is hiring a Lead Specialty Software Engineer. Level rates it ; you can apply on Wells Fargo.

Level's read on this job

  • On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions OpenAI, Copilot and LangChain among its tools and skills.
  • Level classes it as a lead role.
  • Wells Fargo has 1,500+ other open roles on Level.
  • Posted in the last few days.

AI in this role

OpenAICopilotLangChainLangGraph
ai-automation

About this role:

Wells Fargo is seeking a Cyber AI Lead Software Specialty Engineer to spearhead the design, development, and deployment of next-generation agentic AI systems within the cybersecurity space. In this role, you will lead a team of AI engineers to build robust, scalable, and ethical AI solutions that automate complex tasks across enterprise workflows.


In this role, you will:

  • Lead complex initiatives on selected domains
  • Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
  • Define opportunities to maximize resource utilization and improve processes while reducing cost
  • Lead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies
  • Resolve coding, testing and escalated platform issues of a technically challenging nature
  • Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
  • Mentor less experienced software engineers
  • Collaborate and influence all levels of professionals including managers
  • Lead team to achieve objectives
  • Partner with production support and platform engineering teams effectively


Required Qualifications:

  • 5+ 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 of hands-on experience with Go Lang design and development building enterprise-scale backend microservices, with strong Java experience; Python preferred.
  • 3+ years of GCP experience, with expertise in Kubernetes, OpenShift, Docker, Terraform, and cloud-native infrastructure
  • 2+ years developing GenAI solutions using OpenAI, LangChain, LangGraph, ADK, or similar frameworks, with strong architecture and design expertise across scalability, security, and performance.


Desired Qualifications:

  • Advanced software engineering or technical degree
  • Evaluate emerging technologies and lead the development of proof-of-concepts and pilots.
  • Identify and apply GenAI and intelligent automation for faster discovery, documentation, design generation, code scaffolding, and test automation.
  • Partner with product managers, platform teams, and cyber operations to align technical solutions with business objectives.
  • Ensure AI capabilities integrate seamlessly with cyber platforms and data pipelines.
  • Identify and mitigate technical risks associated with AI use in cybersecurity.
  • Ensure models and AI systems comply with internal security policies, privacy standards, and ethical AI principles.
  • Maintain high-quality documentation of architecture, design decisions, and patterns.
  • Mentor engineers and promote knowledge sharing across the cyber and AI communities.
  • Lead training sessions and contribute to internal best practices.


Job Expectations:

  • This position offers a hybrid work schedule
  • This position is not eligible for Visa sponsorship
  • Demonstrate proficiency in using AI‑assisted development and analysis tools (e.g., GitHub Copilot and approved code‑centric agents)
  • Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
  • Apply strong technical judgment when validating and integrating AI‑assisted outputs into solutions
  • Understand and account for model limitations, security risks, and operational considerations
  • Apply AI responsibly in development and production environments
  • Ensure AI usage aligns with security, compliance, privacy, and ethical standards


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. $159,000.00 - $254,000.00

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 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:

22 Nov 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.

c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.

How we rate this

Lead Specialty Software Engineer at Wells Fargo rates 12 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI AutomationOpenAICopilotLangChainLangGraph

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. Tell me about a workflow you automated with AI tools, end to end.
  2. Walk me through how you've used OpenAI in your day-to-day work.
  3. What are the limits of Copilot that you've run into, and how did you work around them?
  4. What's a project where you used LangChain hands-on?
  5. Walk me through how you've used LangGraph in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: AI Automation, OpenAI, Copilot, LangChain, and LangGraph. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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