{"id":3981228,"url":"https://alion.io/job/wells-fargo-lead-specialty-software-engineer","title":"Lead Specialty Software Engineer","company":{"id":1977,"name":"Wells Fargo","domain":"wellsfargo.com","url":"https://alion.io/company/wells-fargo","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":232,"ghost_share":0,"stale_share":0,"repost_share":0.013,"time_to_fill_p50_days":16,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Las Colinas, United States","Charlotte, United States","Columbus, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":159000,"max":254000,"currency":"USD","period":"year","gross":null,"usd_annual":254000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Copilot","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Google ADK","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenShift","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-09T19:46:15Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-11T00:42:54Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About this role:\nWells 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.\nIn this role, you will:\nLead complex initiatives on selected domains\nEnsure systems are monitored to increase operational efficiency and managed to mitigate risk\nDefine opportunities to maximize resource utilization and improve processes while reducing cost\nLead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies\nResolve coding, testing and escalated platform issues of a technically challenging nature\nLead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives\nMentor less experienced software engineers\nCollaborate and influence all levels of professionals including managers\nLead team to achieve objectives\nPartner with production support and platform engineering teams effectively\nRequired Qualifications:\n5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education\n3+ years of hands-on experience with Go Lang design and development building enterprise-scale backend microservices, with strong Java experience; Python preferred.\n3+ years of GCP experience, with expertise in Kubernetes, OpenShift, Docker, Terraform, and cloud-native infrastructure\n2+ years developing GenAI solutions using OpenAI, LangChain, LangGraph, ADK, or similar frameworks, with strong architecture and design expertise across scalability, security, and performance.\nDesired Qualifications:\nAdvanced software engineering or technical degree\nEvaluate emerging technologies and lead the development of proof-of-concepts and pilots.\nIdentify and apply GenAI and intelligent automation for faster discovery, documentation, design generation, code scaffolding, and test automation. \nPartner with product managers, platform teams, and cyber operations to align technical solutions with business objectives.\nEnsure AI capabilities integrate seamlessly with cyber platforms and data pipelines.\nIdentify and mitigate technical risks associated with AI use in cybersecurity.\nEnsure models and AI systems comply with internal security policies, privacy standards, and ethical AI principles.\nMaintain high-quality documentation of architecture, design decisions, and patterns.\nMentor engineers and promote knowledge sharing across the cyber and AI communities.\nLead training sessions and contribute to internal best practices.\n Job Expectations:\nThis position offers a hybrid work schedule\nThis position is not eligible for Visa sponsorship\nDemonstrate proficiency in using AI-assisted development and analysis tools (e.g., GitHub Copilot and approved code-centric agents)\nLeverage AI to accelerate system design, coding, testing, analysis, and troubleshooting\nApply strong technical judgment when validating and integrating AI-assisted outputs into solutions\nUnderstand and account for model limitations, security risks, and operational considerations\nApply AI responsibly in development and production environments\nEnsure AI usage aligns with security, compliance, privacy, and ethical standards\nPay Range\nReflected 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.\n$159,000.00 - $254,000.00\nBenefits\nWells 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.\nHealth benefits\n401(k) Plan\nPaid time off\nDisability benefits\nLife insurance, critical illness insurance, and accident insurance\nParental leave\nCritical caregiving leave\nDiscounts and savings\nCommuter benefits\nTuition reimbursement\nScholarships for dependent children\nAdoption reimbursement\nPosting End Date:\n22 Nov 2026*Job posting may come down early due to volume of applicants.\nWe Value Equal Opportunity\nWells 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.\nEmployees 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.\nApplicants with Disabilities\nTo request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.\nDrug and Alcohol Policy\nWells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.\nWells Fargo Recruitment and Hiring Requirements:\na. Third-Party recordings are prohibited unless authorized by Wells Fargo.\nb. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.\nc. 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