Applied AI ML Lead - Generative AI and Semantic Modeling
JP Morgan Chase
You will help shape how analytics and generative AI are delivered at enterprise scale—turning complex business problems into production-ready, measurable solutions. You will work with a collaborative team that values engineering excellence, responsible innovation, and continuous learning.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 partner with stakeholders to shape problem statements, define success metrics, and deliver 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 responsibilitiesDevelop generative AI, agent-based AI, and large language model solutions in Python from proof of concept through production deploymentDesign context engineering approaches to improve model accuracy, latency, reliability, and overall performance in real-world workflowsLead semantic modeling strategy, including ontology standards, governance, and lifecycle management aligned to enterprise needsCreate scalable ontologies that model business entities, relationships, rules, and constraints in partnership with domain expertsDefine semantic integration patterns across data pipelines, application programming interfaces, data contracts, and experience layers to resolve semantic conflictsBuild 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 methodsBuild and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and production operationsImplement responsible AI practices, model risk controls, and governance aligned to regulated environments and internal standardsCommunicate complex technical concepts clearly to technical and non-technical stakeholders, including senior leaders, to align delivery to business objectivesRequired qualifications, capabilities and skillsMaster’s degree in a data science-related discipline and 8 years of industry experience, or a PhD in a data science-related disciplineHands-on experience developing and deploying machine learning and generative AI solutions using PythonDemonstrated ability to write and maintain production-quality code, including reliability, performance, and maintainability considerationsExperience with continuous integration practices and unit test development to support quality deliveryExperience building and managing data pipelines and processing workflows that support analytical and machine learning use casesStrong written and verbal communication skills, including the ability to translate technical decisions into business impactDemonstrated scientific thinking and structured problem-solving skills for ambiguous, data-driven challengesAbility to work independently while collaborating effectively across product, engineering, and business stakeholdersPreferred qualifications, capabilities and skillsExperience building large language model applications that use context engineering to improve response quality and reliabilityBackground in semantic modeling, ontology design, and governance practices in enterprise environmentsExperience designing semantic integration patterns across data contracts and application programming interfaces in distributed systemsExperience implementing monitoring and evaluation approaches for machine learning and generative AI in productionExperience mentoring data scientists and engineers and promoting modern machine learning engineering best practices#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 Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.Full timePosting Date: 2026-07-14
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...ProfessionalCompany: CitiThe AI Transformation Group... ...responsible for leading and transforming the technology... ...lifecycle around applied artificial intelligence... ...reshape the operating model to sustain an AI-first... ...automated test and review generation into daily delivery; redesigning...Full timeImmediate startShift work- As an Applied AI/ML Vice President within Global Private Bank, you'll own... ...impact casual and predictive models serving clients across wealth... ...with Private Bank business leads. Design, build, and deploy end... ...experimentation, and classical/generative ML where appropriate. Own...Casual work
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$106.5k - $173.7k
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...DescriptionWhat is the opportunity?Lead transaction data strategy and... ...delivering trusted, governed, AI-ready data capabilities.What... ...organizational goals.Generates sustainable shareholder value.... ...presently inviting candidates to apply for this existing vacancy. Applying...Full timeWork at officeFlexible hours- ...in a dynamic environment. As a Lead Technical Program Manager in... ...you will identify and implement AI-enabled solutions that... ...oversee the technology operating model across the organization, including... ...environmentDemonstrated proficiency in applying analytical reasoning and...Work at office
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