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SR Principal Software Engineer - LLM Engineering

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Testing Site - JPMC
Full Time, Seasonal/Temporary, Commission-based only position
Listed on 2026-10-18
Job specializations:
  • Software Development
    Software Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 250000 - 330000 USD Yearly USD 250000.00 330000.00 YEAR
Job Description & How to Apply Below
SR Principal Software Engineer - LLM Engineering

and 1 more

Job Information
  • Job Identification
  • Job Category Software Engineering
  • Business Unit Commercial & Investment Bank
  • Posting Date 03/24/2026, 05:33 PM
  • Locations 3223 Hanover St, Palo Alto, CA, 94304, US
  • Job Schedule Full time
  • Job Shift Day
About Us

JPMorgan

Chase, 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/Veterans

Job Description

We’re looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world’s most influential companies.

As a Senior Principal Software Engineer at JPMorgan

Chase within the Commercial & Investment Bank Trust & Safety Fraud Prevention team, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. Leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances.

Job

responsibilities
  • Advises and leads on the strategy, architecture, and development of Model serving solutions for different model architectures including LLMs & GNNs, across cloud and on‑premises environments, aligning initiatives to business outcomes.
  • Defines and implements MLOps and LLMOps strategies for end‑to‑end model lifecycle management, including training, versioning, deployment, monitoring, and governance.
  • Drives optimization of Model inferencing for high throughput and low latency using quantization, model parallelism, intelligent batching, and hardware acceleration for all model architectures
  • Creates…
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