{"id":3886249,"url":"https://alion.io/job/wells-fargo-senior-java-specialty-payments-software-engineer","title":"Senior Java Specialty Payments 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":203,"ghost_share":0,"stale_share":0,"repost_share":0.01,"time_to_fill_p50_days":17,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":143000,"max":224000,"currency":"USD","period":"year","gross":null,"usd_annual":224000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-11-06T19:43:28Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-08T10:13:59Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Wells Fargo is seeking a Senior Java Specialty Payments Software Engineer to join our Global Payments and Liquidity team to be part of the transformation initiative leveraging GenAI to accelerate development and build new capabilities. In this role as an AI engineer, you will develop cutting edge artificial intelligence solutions using large language models, agentic frameworks, and the spec-driven SDLC. The ideal candidate would have knowledge in designing, developing, and deploying applications leveraging LLM models and systems, with a strong focus on Prompt Engineering, Fine Tuning, RAG implementation and Agentic frameworks.\nLearn more about the career areas and lines of business at wellsfargojobs.com\nIn this role, you will:\nDesign, develop, and deploy AI applications using Enterprise APIs, LLM's, agent frameworks, and other related technologies \nCollaborate with enterprise teams to integrate LLM models with the existing products and systems\nDevelop and maintain large scale applications using Java, Python, containerization, and other relevant technologies\nStay up to date with the latest advancements in AI, LLM second agentic frameworks and apply this knowledge to improve existing systems and develop new ones\nTroubleshoot and resolve complex technical issues related to applications and models\nAssist other individuals in advanced software development\nRequired Qualifications:\n4+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education\n4+ years' experience in software development leveraging Python, Java or similar technologies\n4+ years' experience in Kubernetes, Docker containers, and other relevant technologies\n3+ years of AI and ML concepts, including deep learning, natural language processing and computer vision\nDesired Qualifications:\nKnowledge of Chatbots, Transformer models, SWE-Bench is preferred \nExcellent problem-solving skills with the ability to troubleshoot and resolve complex technical issues\nStrong collaboration and communication skills with the ability to work effectively with cross functional teams\nExperience with the agile development methodologies and version control systems such as GIT\nCertification in AI, machine learning or a related field\nBachelor’s or master’s degree in computer science, artificial intelligence or a related field \nLocations:\n300 S Brevard St., Charlotte, North Carolina 28202\n125 High St.-Boston, Massachusetts 0211\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$143,000.00 - $224,000.00\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:\n7 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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