Sr Lead Software Engineer - Java, Python, AI/ML
JP Morgan Chase
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the the Commercial and Investment Bank's Engineering and Architecture Team, 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. You will be a part of the AI For Technology team that works closely with other tech teams across the line of business to apply AI technique to Software Engineering, applying AI to the trade and accelerating them through the journey. This is grounded in Software Engineering and applying AI solutions instead of building AI models. 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. Job responsibilitiesRegularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendorsDevelops secure and high-quality production code, and reviews and debugs code written by othersLead a local team of software engineers and applied AI/ML practitioners, driving accountability and engagement within a global organization.Drives 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.Architect, design, and develop secure, high-quality production software systems using Java or Python, integrating AI/ML techniques such as LLMs, Generative AI, and coding assistantsApplies 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.Design experiments, implement algorithms, validate results, and productionize performant, scalable, and trustworthy AI/ML solutions.Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.Drives decisions that influence the product design, application functionality, and technical operations and processesRequired, qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and 5+ years applied experienceFamiliarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Auto-GPT)Advanced proficiency in Java or Python for software system development; strong grasp of software engineering best practices, system design, application development, testing, and operational stabilityExperience integrating AI/ML techniques into software systems, including familiarity with LLMs, Generative AI, NLP, RAG, AI evals and coding assistantsHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in Java and/or Python programming languagesDemonstrated 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 securityStrong 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.Good understanding of data structures, algorithms, and practical machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn)Hands-on practical experience delivering system design, application development, testing, and operational stabilityAbility to tackle design and functionality problems independently with little to no oversightPreferred qualifications, capabilities, and skillsExperience working at code level with advanced AI/ML business applications (e.g., LLMs, Generative AI, NLP)AWS Certifications (Solution Architect Associate or Professional) are advantageousIn-depth knowledge of the financial services industry and their IT systems JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/VeteransJ.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Full timePosting Date: 2026-08-20
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$156.75k - $215k
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...training or certification in software engineering concepts, along with 5+... ...hands-on experience coding in Java or Python. We need practical experience... ...We value experience with AI systems, LLMs, and machine learning... ...and systems. We lead evaluation sessions to assess...Full time- ...limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the... ...of enterprise-authorized AI-assisted engineering practices... ...automationDesigns and delivers scalable ML systems (batch and real-time... ...patterns and technologies Java, Spring boot, Kafka,...
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$61k - $101k
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