Applied AI and ML Lead - Generative AI
JP Morgan Chase
Build what’s next in enterprise AI—solutions that materially improve how teams make decisions, automate work, and serve internal customers. You will take generative AI from concept to production, help set the standard for semantic consistency across systems, and partner closely with stakeholders to turn complex business needs into measurable outcomes. You will mentor talent and influence technical direction across Corporate Technology and supported Corporate Functions.As an Applied AI and Machine Learning Lead at JPMorganChase within Corporate Technology Data Science and AI, you will design, build, and deploy scalable analytical and generative AI solutions that deliver measurable business value. You will translate complex business needs into clear problem statements, success metrics, and production-ready models and intelligent workflows. You will help establish semantic modeling standards and a unified semantic layer that improves trust and consistency across analytics and AI use cases.Job ResponsibilitiesBuild generative AI, agentic AI, and large language model solutions in Python from proof of concept through production deployment with measurable outcomesDesign context engineering approaches to improve model accuracy, latency, reliability, and end-to-end user experienceLead enterprise semantic modeling strategy, including ontology standards, governance practices, and lifecycle managementPartner with domain experts to create scalable ontologies that represent business entities, relationships, rules, and constraintsDefine semantic integration patterns across data pipelines, application programming interfaces (APIs), data contracts, and experience layers to resolve semantic conflictsEstablish and govern a unified semantic layer that enables trusted analytics across business intelligence, machine learning, and transactional systemsEnable intelligent workflows and AI agents using ontology-driven context, semantic reasoning, and orchestration approachesBuild and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and machine learning operationsImplement responsible AI practices, model risk controls, and governance aligned to regulated environmentsMentor engineers and data scientists, raising the bar on engineering rigor, reuse, and continuous improvement across the teamRequired Qualifications, Capabilities, and SkillsMaster’s degree in a data science-related discipline and eight years of industry experience, or PhD in a data science-related disciplineDemonstrated experience developing and deploying machine learning and generative AI solutions using PythonProven ability to write and maintain production-quality code, including documentation and maintainable design patternsExperience building automated testing practices, including unit tests, and implementing continuous integration pipelinesExperience building and managing data pipelines and processing workflows for analytics and machine learning use casesStrong scientific thinking and structured problem-solving skills, including hypothesis-driven analysis and metric definitionStrong written and verbal communication skills, with the ability to explain complex concepts to technical and non-technical stakeholdersDemonstrated ownership and attention to detail when operating in ambiguous, complex problem spacesAbility to work independently while collaborating effectively across product, engineering, data, and business partnersPreferred Qualifications, Capabilities, and SkillsExperience designing or governing semantic models and ontologies, including taxonomy design and lifecycle governanceExperience implementing retrieval-augmented generation, tool use, and evaluation strategies for large language model applicationsFamiliarity with responsible AI techniques, including bias testing, explainability approaches, and model monitoring standardsExperience designing scalable architectures for real-time or near-real-time inference and intelligent workflow orchestrationExperience influencing cross-functional technical direction and mentoring engineers through design reviews and delivery execution#LI-RB3 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/VeteransOur professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.Full timePosting Date: 2026-07-16
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...are seeking a results-driven Generative AI group manager with end-to-end... ...experience with AWS services for AI/ML.Natural Language Processing (... ...: Proven ability to lead and deliver complex, large-scale... ...Innovation: A passion for applying cutting-edge AI technologies...Full time- ...techniques and technologies with a focus on machine learning for data, cyber, software, and technology infrastructure.As the Applied AI ML Lead-Vice President in the GT Chief Data & Analytics Office(CDAO) at JPMorgan Chase, you will apply sophisticated machine learning...Work at office
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Position Summary Lead Applied AI Site Reliability Engineer II Role Overview: As a Lead Applied AI Site Reliability Engineer II, you will... ...hyperscalers such as Azure, AWS, or GCP—including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI—plus...Work at officeLocal areaFlexible hours3 days per week$90k - $157.5k
We are in search of an AI Platform and Ops Lead, Assistant Vice President with a strong background in Generative AI, Machine Learning, enterprise... ...in cloud infrastructure, AI/ML platform services, automation... ...AnnualThe range quoted above applies to the role in the primary...Full timeTemporary workFlexible hours$176.72k - $265.08k
...ProfessionalCompany: CitiThe AI Transformation Group Manager is... ...level position responsible for leading and transforming the... ...development lifecycle around applied artificial intelligence. The overall... ...and automated test and review generation into daily delivery; redesigning...Full timeImmediate startShift work- ...AI Enablement Program Architect Drive and architect an enterprise-scale AI enablement... ...stakeholders and control partners. Lead program execution end-to-end: Stand up operating... .... Exhibit AI fluency for operations: Apply working knowledge of Copilot, LLM chat...
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...conducting multiple software implementations and applying both depth and breadth in knowledge of... ...clear acceptance criteriaPlays a team lead role (as an individual contributor) and mentors... ...using Github Copilot and other AI tools to speed up delivery of the development...Full timeWork at officeDay shift- ...for top achievers in site reliability. As a Lead Site Reliability Engineer at JPMorgan... ...your customersUses enterprise-authorized AI capabilities within the work environment to... ...reliability engineering concepts and 5+ years applied experience ( NAMR/APAC - India/ LATAM/...Local area
$176.72k - $265.08k
...software engineering initiatives, and lead the adoption of modern... ...-native architectures, Agentic AI, machine learning, and enterprise... ...capabilities in software engineering, AI/ML development, and intelligent... ..., adhering to Policy, applying sound ethical judgment regarding...Full time
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