{"id":3397743,"url":"https://alion.io/job/jpmorganchase-full-stack-sr-lead-software-engineer","title":"Full Stack Sr Lead Software Engineer","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":90,"open_postings":1160,"ghost_share":0.011,"stale_share":0.553,"repost_share":0.058,"time_to_fill_p50_days":12,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Jersey City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":196000,"max_usd":393000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1231},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-10-27T17:28:29Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-31T05:34:54Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.\nAs a Senior Lead Software Engineer at JPMorganChase within the Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.\nWe are seeking a visionary Senior LeadSoftware Engineer with extensive experience of applied experience in software engineering and deep expertise in advanced AI and agentic system development. This leader will be responsible for architecting and delivering AI-native, autonomous agentic AI solutions that transform client onboarding and operational workflows across the organization. The ideal candidate brings a proven track record of designing production-grade agentic AI frameworks - including multi-agent orchestration, retrieval-augmented generation (RAG) pipelines, dynamic tool-use agents, and LLM-powered reasoning systems - while building durable, reusable software frameworks leveraged across teams and functions. They will serve as the organization's foremost subject matter expert on agentic AI, advising cross-functional teams on agent safety, prompt engineering, model evaluation, and responsible AI deployment, and will influence senior stakeholders across business, product, and technology on the strategic adoption of autonomous AI capabilities.\nJob responsibilities\nRegularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors\nDevelops secure and high-quality production code, and reviews and debugs code written by others\nDrives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.\nApplies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.\nDrives decisions that influence the product design, application functionality, and technical operations and processes\nServes as a function-wide subject matter expert in one or more areas of focus\nActively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and 5+ years applied experience \nDesign, develop, and maintain scalable applications using Java/J2EE and/or Python, hands-on experience with agentic AI frameworks, and deep knowledge of NLP, ML, and cloud-native AI deployment on AWS (including SageMaker and Bedrock).\nExperience leading AI-powered products as a Product Owner or Product Manager is required, along with a strong understanding of financial services.\nLead the integration of AI technologies into existing systems, utilizing Natural Language Processing (NLP) and Machine Learning (ML) frameworks to enhance client onboarding processes and improve user experience. Collaborate with data scientists to develop and deploy predictive models.\nImplement cloud-based solutions on AWS, leveraging services such as EC2, S3, and Lambda. Champion agile methodologies within the team, facilitating sprint planning, daily stand-ups, and retrospectives to ensure timely delivery of high-quality software\nDemonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security\n\nStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.\n\nExperience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines\nExperience leading a product as a Product Owner or Product Manager\nAbility to present and effectively communicate with Senior Leaders and Executives\nUnderstanding of the business, financial services is required\nPreferred qualifications, capabilities, and skills\nDeveloping and refining prompt engineering and multi-turn agent interaction design, expertise in agent observability and evaluation tooling, and domain knowledge in client onboarding processes.\nDomain knowledge, client onboarding is preferred","description_format":"text","description_chars":5263,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A 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