Generative AI - Senior Associate

Generative artificial intelligence is transforming how we build products, serve clients, and operate at scale. In the Chief Data and Analytics Office, you will help turn advanced models into dependable, secure, and high-performing production services. You will work with partners across machine learning, cloud engineering, and site reliability engineering to deliver solutions with clear return on investment. If you enjoy hands-on engineering, real-world constraints, and high-impact delivery, this role is for you.As a Senior Associate, Generative AI Engineer in the Chief Data and Analytics Office, you will help design, build, and support production generative artificial intelligence products and reusable backend application programming interfaces used across the firm. You will combine large enterprise datasets with large language and multimodal models to deliver scalable, measurable solutions. You will collaborate closely with machine learning, cloud engineering, and site reliability engineering partners to ensure reliability, performance, and strong operational controls. You will contribute to technical design decisions, delivery planning, and continuous improvement of our platforms and products.Job responsibilities Build and operate production generative artificial intelligence services and reusable backend application programming interfaces for firmwide useCombine enterprise data assets with large language and multimodal models to deliver high-quality user experiencesDesign scalable architectures with clear interfaces and separation of concerns to enable broader developer adoptionImplement batch and real-time processing patterns to support high-throughput, low-latency use casesCollaborate with cloud engineering and site reliability engineering partners to deliver resilient, observable systemsTranslate research concepts into production-ready software through experimentation, evaluation, and iterative hardeningOptimize system performance, scalability, and cost across inference, storage, and computeDefine and track measurable outcomes, including objectives and key results aligned to business needsEnsure responsible artificial intelligence practices, controls, and governance are embedded into delivery and operationsTroubleshoot production issues, drive root-cause analysis, and implement preventative improvementsRequired qualifications, capabilities, and skills PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics, or equivalent practical experience3+ years of experience as an individual contributor in machine learning engineering or applied machine learning software engineeringDemonstrated experience delivering production machine learning services in an enterprise environment, including being accountable for service healthStrong fundamentals in statistics, optimization, and machine learning theory with applied depth in natural language processing and/or computer visionHands-on experience building distributed, multi-threaded, and scalable systems (for example Ray, Horovod, or DeepSpeed)Strong software engineering fundamentals, including data structures, algorithms, and software development lifecycle best practicesExperience designing and delivering service-oriented systems and application programming interfaces with scalability and performance requirementsAbility to define success metrics and write clear objectives and key results aligned to business expectationsStrong problem-framing skills to align machine learning solutions to business objectives and constraintsExcellent communication skills with the ability to influence and build trust across technical and non-technical stakeholdersPreferred qualifications, capabilities, and skills Experience designing and implementing pipeline workflows using directed acyclic graph frameworks (for example Kubeflow, DVC, or Ray)Experience building batch and streaming microservices exposed via gRPC and/or GraphQLDemonstrable experience with parameter-efficient fine-tuning, quantization, and quantization-aware fine-tuning for large language modelsExperience with advanced prompting strategies such as chain-of-thought, tree-of-thought, or graph-of-thought approachesExperience with multimodal large language model use cases (text plus image, speech, or video)Experience partnering closely with cloud engineering and site reliability engineering teams on production readiness and operationsExperience measuring and improving model quality using offline evaluation and production monitoring#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: 2026-03-31