Applied AI ML Lead - Generative AI and Semantic Modeling at JPMC Candidate Experience page

Jersey City, New Jersey, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Oct, 26

Salary

260000.0

Posted On

14 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Semantic Modeling, Python, Large Language Models, Ontology Design, Machine Learning, Context Engineering, Data Pipelines, Responsible AI, Model Governance, CI/CD, Unit Testing, Semantic Reasoning, Orchestration, Model Monitoring, Stakeholder Management

Industry

Financial Services

Description

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 responsibilities * Develop generative AI, agent-based AI, and large language model solutions in Python from proof of concept through production deployment * Design context engineering approaches to improve model accuracy, latency, reliability, and overall performance in real-world workflows * Lead semantic modeling strategy, including ontology standards, governance, and lifecycle management aligned to enterprise needs * Create scalable ontologies that model business entities, relationships, rules, and constraints in partnership with domain experts * Define semantic integration patterns across data pipelines, application programming interfaces, data contracts, and experience layers to resolve semantic conflicts * Build and govern a unified semantic layer that enables trusted analytics across business intelligence, machine learning, and transactional systems * Enable intelligent workflows and AI agents using ontology-driven context, semantic reasoning, and orchestration methods * Build and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and production operations * Implement responsible AI practices, model risk controls, and governance aligned to regulated environments and internal standards * Communicate complex technical concepts clearly to technical and non-technical stakeholders, including senior leaders, to align delivery to business objectives Required qualifications, capabilities and skills * Master’s degree in a data science-related discipline and 8 years of industry experience, or a PhD in a data science-related discipline * Hands-on experience developing and deploying machine learning and generative AI solutions using Python * Demonstrated ability to write and maintain production-quality code, including reliability, performance, and maintainability considerations * Experience with continuous integration practices and unit test development to support quality delivery * Experience building and managing data pipelines and processing workflows that support analytical and machine learning use cases * Strong written and verbal communication skills, including the ability to translate technical decisions into business impact * Demonstrated scientific thinking and structured problem-solving skills for ambiguous, data-driven challenges * Ability to work independently while collaborating effectively across product, engineering, and business stakeholders Preferred qualifications, capabilities and skills * Experience building large language model applications that use context engineering to improve response quality and reliability * Background in semantic modeling, ontology design, and governance practices in enterprise environments * Experience designing semantic integration patterns across data contracts and application programming interfaces in distributed systems * Experience implementing monitoring and evaluation approaches for machine learning and generative AI in production * Experience 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 [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Our 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.

Responsibilities

Design and deploy scalable generative AI and semantic modeling solutions to solve complex business problems at enterprise scale. Establish semantic modeling standards and a unified semantic layer to improve trust and consistency across AI use cases.