Applied AI ML Engineer Lead

JP Morgan Chase; Palo Alto (CA); Presencial; USD 171.000 - 260.000; Tempo integral

Benefícios oferecidos por esta vaga

Comprehensive health care coverage

On-site health and wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Resumo da vaga

JP Morgan Chase, based in Palo Alto, CA, seeks an Applied AI ML Engineer Lead to architect autonomous agent systems capable of reasoning, planning, acting, and learning to tackle high-impact banking problems. You will bridge cutting-edge research with enterprise delivery within the Applied AI Research team in Commercial and Investment Banking.

You will guide design, evaluation, and scalable deployments across business and technology stakeholders, raising engineering and scientific standards and

Qualificações

• Formal training or certification in applied AI/ML concepts with 5+ years of experience
• Advanced degree (Master’s or Doctorate) in Computer Science, ML, Statistics, or related field
• Demonstrated experience designing experiments and evaluations for ML systems with clear metrics and reproducible results
• Proven track record deploying ML applications into production with monitoring, reliability, and lifecycle management
• Strong software engineering skills with experience building reusable components
• Experience with distributed computing patterns for training/serving and state management for agent workflows
• Ability to lead through influence across cross-functional teams, translating complex topics for varied audiences

Responsabilidades

• Architect and deliver generative AI and agent-based solutions end-to-end
• Translate business problems into research and engineering plans, success metrics, and scalable designs
• Build multi-agent systems with collaboration and learning from feedback
• Design reusable services, libraries, and architectures to accelerate adoption
• Establish rigorous experimentation practices including offline/online evaluation and ablation testing
• Mentor and develop applied AI engineers and researchers
• Partner with stakeholders to scale solutions responsibly across teams

Conhecimentos

Applied AI/ML

Experimentation design

Distributed computing

Leadership across teams

Software engineering

Formação

Master's or PhD in CS/ML/Statistics

Ferramentas

AWS SageMaker

Amazon Bedrock

Descrição da vaga

Applied AI ML Engineer Lead

Palo Alto, CA, United States

and 1 more

Job Information

• Job Identification 210755702

• Job Category Predictive Science

• Business Unit Commercial & Investment Bank

• Posting Date 08/27/2026, 05:39 PM

• Locations 3223 Hanover St, Palo Alto, CA, 94304, US545 Washington Blvd, Jersey City, NJ, 07310, US

• Job Schedule Full time

• Base Pay/Salary Palo Alto,CA $171,000.00-$260,000.00; Jersey City,NJ $171,000.00-$260,000.00

Job Description

Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act, and learn to solve critical problems for an industry leading financial institution. We are looking for architects who will define the future of banking through Agentic AI. The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transforming operations by leveraging the latest advancements in agentic AI and frontier models.

As an Applied Artificial Intelligence and Machine Learning Lead at JPMorganChase within the Applied AI Research team in Commercial and Investment Banking , you will help build autonomous agent systems that can reason, plan, act, and learn to solve high-impact business problems. You will bridge cutting-edge research and enterprise-grade delivery, shaping how applied AI is designed, evaluated, and deployed at scale. You will partner closely with business and technology stakeholders to translate priority needs into measurable outcomes, while raising engineering and scientific standards across the team.

Job Responsibilities

• Architect and deliver generative artificial intelligence and agent-based solutions that automate complex operational workflows end-to-end

• Translate priority business problems into research and engineering plans, success metrics, and scalable solution designs

• Build multi-agent systems that collaborate reliably, coordinate tasks, and improve over time through feedback and evaluation

• Design reusable services, libraries, and reference architectures that accelerate adoption across applied AI teams

• Establish rigorous experimentation practices, including offline/online evaluation, ablation testing, and error analysis, to drive measurable improvements

• Mentor and develop applied AI engineers and researchers, fostering a culture of scientific rigor, ownership, and continuous learning

• Partner with stakeholders across business and technology teams to scale solutions responsibly, balancing performance, reliability, and security

Required Qualifications, Capabilities, and Skills

• Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience

• Advanced degree (Master’s or Doctorate) in Computer Science, Machine Learning, Statistics, or a related quantitative field

• Demonstrated experience designing experiments and evaluations for machine learning systems, including clear metrics and reproducible results

• Proven track record deploying machine learning applications into production environments with operational excellence (monitoring, reliability, and lifecycle management)

• Strong software engineering skills in modern programming languages and machine learning frameworks, with experience building reusable components

• Experience with distributed computing patterns for training and serving, and with state management for agent workflows

• Ability to lead through influence across cross-functional teams, translating complex technical topics for varied audiences

Preferred Qualifications, Capabilities, and Skills

• Experience building and evaluating autonomous agent systems (planning, tool-use, orchestration, and multi-agent coordination)

• Experience with cloud-based machine learning platforms, such as Amazon Web Services (AWS) SageMaker or Amazon Bedrock

• Publications, open-source contributions, or other evidence of applied research impact in machine learning or generative artificial intelligence

• Familiarity with financial services domains and operational processes, including risk-aware design and production constraints

FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.

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#CIBAppliedAI

About Us

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.

• comprehensive health care coverage
• on-site health and wellness centers
• a retirement savings plan
• backup childcare
• tuition reimbursement
• mental health support
• financial coaching

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

About the Team

J.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.