Jobs in the United States

25+ jobs

Save this search

Added 2 mins ago
AI/ML Machine Learning Engineer
Children's Healthcare of Atlanta
Brookhaven, GA
The AI Machine Learning Engineer bridges the gap between data science and implementation. They support data scientists and clinical informaticists in the development, deployment and…
Added 5 mins ago
Senior Mission Software Engineer
Varda Space Industries
El Segundo, CA
The Senior Mission Software Engineer is responsible for Varda's critical ground segment software, and the platform it runs on which enables spacecraft operations. We operate at the…
Added 5 mins ago
Senior Guidance, Navigation, and Controls (GNC) Engineer
Varda Space Industries
El Segundo, CA
As a Senior Guidance, Navigation, and Controls (GNC) Engineer, you will own the full life cycle of GNC development at Varda, from design through to unit, hardware-in-the-loop, on-vehicle…
Added 8 mins ago
Malware Reverse Engineer
Accenture
St. Louis, MO
…analysis and operational intelligence capability. You will reverse engineer complex malware, unpacking sophisticated samples to uncover behavior, infrastructure, and adversary tradecraft.…
Added 8 mins ago
BH
Sr. Data Enterprise Engineer
BJC HealthCare
Saint Louis, MO
- $101,483.2 to $165,276.8 USD / year
BJC is hiring for a Enterprise Data Engineer. The Data Engineer develops, tests, and maintains reliable data pipelines and datasets that support reporting, analytics, and data science. This…
Added 8 mins ago
Process Engineer (5744)
Honeywell
Kansas City, MO
Added 32 mins ago
TT
Senior Software Engineer, Autonomous Systems
True Talent Solutions Partners
Palo Alto, CA
- $145,000 to $275,000 USD / year
Join a customer-facing product engineering team building cloud and edge software for command and control of autonomous systems. Your work will connect sensors, robotic platforms, and…
Added 35 mins ago
Data Engineer
USU RESEARCH FOUNDATION
STAFFORD, VA
Added 35 mins ago
Nuclear Coop - Summer 2027 and additional terms
Dominion Energy
GLEN ALLEN, VA
Ability to rapidly learn new concepts and maintain cognizance and control of multiple project tasks.
Added 36 mins ago
Web Developer
CACI International
Chantilly, VA
…troubleshooting defects, creating web API integrations, supporting data conversion efforts, or exploring new technical…
Added 36 mins ago
Splunk SIEM Data Onboarding Engineer
BOOZ, ALLEN & HAMILTON, INC.
Reston, VA
The Splunk SIEM Data Onboarding Engineer is responsible for managing and enhancing our Splunk environment to ensure seamless data ingestion, analysis, and visualization. This role demands a…
Added 1 hour ago
Senior Embedded Software Engineer
Varda Space Industries
El Segundo, CA
The Senior Embedded Software Engineer on the Flight Software team is responsible for determining how our spacecraft behaves & operates in orbit and building reliable software to ensure it…
Added 1 hour ago
Project Engineer, CLT100
Amazon
Hamlet, NC
As a Data Center Project Engineer, you will be part of a creative, diverse team tasked with solving fascinating problems in constructing Amazon Data Centers. Our data centers are industry…
Added 1 hour ago
Expert Systems Engineer
CACI International
Fort Bragg, NC
We are seeking a passionate Expert Systems Engineer who thrives in a creative environment and applies nontraditional approaches to large-scale enterprise systems engineering in support of…
Added 1 hour ago
AE
Campus Graduate Masters Summer Internship Program - 2027 Software Engineer, Enterprise Technology Services- Charlotte, NC
American Express
Charlotte, NC
- $24.05 to $63 USD / hour
…support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology…
Added 1 hour ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 Software Engineer II, Enterprise Technology Services- Charlotte, NC
American Express
Charlotte, NC
- $89,250 to $150,250 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As a Software Engineer in the full-time Technology Graduate Program, you’ll join a…
Added 1 hour ago
AE
Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services- Charlotte, NC
American Express
Charlotte, NC
- $78,000 to $124,750 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As a Software Engineer in the full-time Technology Graduate Program, you’ll join a…
Added 1 hour ago
Manufacturing Process Control Engineer APVD/PCVD
US0767 Prysmian Cables and Systems Usa LLC
Claremont, NC
…fibers, copper cables and connectivity for voice, video and data transmission for the telecommunication…
Added 1 hour ago
Y
Platform Engineer
Yuzu
New York City, NY
- $160,000 to $240,000 USD / year
…Yuzu. If our claims processing volume (or our commits to source control) grow by 100x, we want our systems - and the way we build and operate them - to scale…
Added 1 hour ago
SO
NAVAL ARCHITECT
SUPERVISOR OF SHIPBUILDING GROTON
Groton, CT
- $100,992 to $131,293 USD / year
Announcement number DE-12956683-26-EEE Control number 868338800
Added 2 hours ago
Quality Engineer II
REXNORD
UNION GROVE, WI
…Rexnord office. ____________________ Scope of Role: The Quality Engineer II is responsible for teaching and empowering Boston Gear associates regarding proper techniques for manufacturing…
Added 2 hours ago
Automotive Quality Engineer
LIPPERT AUTOMOTIVE
EAU CLAIRE, WI
…and premium products to all our customers. Automotive Quality Engineer Our Quality Engineers will establish controls for automotive accessories with development, application and maintenance…
Added 2 hours ago
Solutions Engineer, New York (Enterprise
CRIBL INC
MADISON, WI
Added 2 hours ago
Sr. Staff Software Engineer, Cribl Dete
CRIBL INC
MADISON, WI
Added 2 hours ago
Principal Engineer, SCADA Engineering (B
INVENERGY LLC
MADISON, WI

Closed listing

JPMorgan Chase

SR Principal Software Engineer - LLM Engineering

Seattle, WA, United States

Base Pay/Salary Palo Alto,CA $232,750.00-$325,000.00; Seattle,WA $232,750.00-$325,000.00; Chicago,IL $204,250.00-$300,000.00; New York,NY $232,750.00-$325,000.00; Jersey City,NJ $232,750.00-$325,000.00

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: Base Pay/Salary Palo Alto,CA $232,750.00-$325,000.00; Seattle,WA $232,750.00-$325,000.00; Chicago,IL $204,250.00-$300,000.00; New York,NY $232,750.00-$325,000.00; Jersey City,NJ $232,750.00-$325,000.00
Posting language: English
Posted: Oct 31, 2026

Similar jobs hiring now

Search current openings

Original job description

Archived listing. The details below describe a past opening.

SR Principal Software Engineer - LLM Engineering

Palo Alto, CA, United States

and 4 more

Job Information

Job Identification 210723475
Job Category Software Engineering
Business Unit Commercial & Investment Bank
Posting Date 08/24/2026, 02:52 PM
Locations 3223 Hanover St, Palo Alto, CA, 94304, US270 Park Ave, New York, NY, 10017, US1 S Clark St, Chicago, IL, 60603, US545 Washington Blvd, Jersey City, NJ, 07310, US1301 2nd Ave, Seattle, WA, 98101, US
Job Schedule Full time
Job Shift Day
Base Pay/Salary Palo Alto,CA $232,750.00-$325,000.00; Seattle,WA $232,750.00-$325,000.00; Chicago,IL $204,250.00-$300,000.00; New York,NY $232,750.00-$325,000.00; Jersey City,NJ $232,750.00-$325,000.00

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 JPMorganChase 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.
Sets strategy and operating standards for agentic AI-enabled engineering across a portfolio (using enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI-orchestrated SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency, and reuse across teams and functions.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Creates durable, reusable software and platform frameworks to standardize ML Engineering services, enabling scale across teams and functions.
Establishes best practices for automation, CI/CD, and infrastructure‑as‑code using containerization and orchestration technologies.
Partners closely with data science, platform engineering, and SRE teams to productionize models on AWS, ensuring observability, reliability, and cost efficiency.
Leads deployment and optimization using model inference servers such as Triton Inference Server and vLLM for high‑throughput, low‑latency serving at scale.
Oversees production operations for AI workloads, including monitoring, incident response, security, and compliance, with continuous improvement.
Translates complex technical concepts and emerging trends into actionable strategies, influencing senior stakeholders and cross‑functional partners to prioritize and deliver AI/ML capabilities that drive measurable business impact while promoting a culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 10+ years of applied experience.
8+ years of AI/ML engineering experience with significant expertise in LLMs, GNNs and other model architectures (e.g., GPT, Llama, Falcon, Mistral).
Demonstrated success architecting and deploying LLM & GNN solutions on AWS (e.g., SageMaker, Bedrock, EKS) at enterprise scale; experience with Azure ML or GCP Vertex AI.
Experience building LLM and GNN serving platforms in large‑scale environments typical of major tech firms.
Hands‑on experience building LLM inference engines using Triton Inference Server and vLLM, including autoscaling, caching, and throughput optimization.
Advanced proficiency in Python and optimization techniques applied to deep learning frameworks (PyTorch, TensorFlow, Hugging Face Transformers).
Deep understanding of LLMOps/MLOps (e.g., MLflow, SageMaker Pipelines, Kubeflow) with a track record of implementing best practices at scale.
Demonstrated experience designing and scaling agentic AI-enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs.
Strong understanding of responsible AI use and control expectations at scale, including security/resiliency implications, data sensitivity, and risk-based governance; ability to advise senior leaders on safe adoption, reuse, and measurable outcomes.
Expertise in inference optimization and distributed systems for large models focused on high‑throughput, low‑latency applications, including system design, testing, and operational stability for enterprise AI platforms.
Excellent communication skills with proven collaboration with SRE to implement observability, incident response, and SLIs/SLOs for LLM services, and the ability to influence both technical and non‑technical stakeholders to deliver value across functions at scale..

Preferred qualifications, capabilities, and skills

Master’s or PhD in Computer Science, Engineering, or a related field (or equivalent experience).
Practical cloud‑native experience, including containerization (Docker), orchestration (Kubernetes), and infrastructure‑as‑code (Terraform, CloudFormation).
Expertise in security, compliance, and governance for AI/ML deployments in regulated environments.
Experience in trust and safety or fraud prevention domains; familiarity with payments platforms is a plus.
Track record of contributions to open‑source LLM projects or peer‑reviewed research and/or experience presenting at industry conferences or leading technical communities.
Familiarity with hardware acceleration strategies across GPUs, TPUs, and specialized inference runtimes.
Experience in building java based applications

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

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.

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.

About employer

More about this job

Skills

Software development
ML
CI/CD
Infrastructure as code
AWS
Incident response
Regulatory compliance
Process improvement
Microsoft Azure
Google Cloud
Python
Deep learning
PyTorch
TensorFlow
Hugging Face
Mlflow
Kubeflow
Communication skills
Collaboration
Computer science
Docker
Kubernetes
IBM Terraform
Research
Securities

Report this job