Jobs in the United States

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Added 29 mins ago
Software Engineer II
Anonyome Labs
LEHI, UT
…engineering best practices in a non-supervisory capacity. Perform software quality assurance through unit testing using XCTest, including Test-Driven Development (TDD) methodologies.…
Added 30 mins ago
Project Engineer
INNOVA SOLUTIONS INC
SALT LAKE CITY, UT
Added 30 mins ago
Software Test Lead
USU RESEARCH FOUNDATION
NORTH LOGAN, UT
Added 37 mins ago
QA Tester
Steampunk
Remote, United States
…assurance services to support application, cloud and data systems development. We are looking for candidates with minimum 5 years experience with experience in quality assurance and test…
Added 37 mins ago
Backend Software Engineer
Steampunk
Remote, United States
As a Backend Software Engineer, you will work on modernizing legacy enterprise systems by decomposing monolithic Java and .NET services into cloud-native Python microservices. This role is…
Added 37 mins ago
Backend Software Engineer
Steampunk
Remote, United States
As a Backend Software Engineer, you will work on modernizing legacy enterprise systems by decomposing monolithic Java and .NET services into cloud-native Python microservices. This role is…
Added 37 mins ago
DevSecOps Engineer
Steampunk
McLean, VA
Provide subject matter expertise in various risk assessments, working in an Agile environment with an understanding of the full software development life-cycle.
Added 37 mins ago
Senior Data Engineer - Databricks
Steampunk
Remote, United States
Support an Agile software development lifecycle
Added 37 mins ago
Senior Tester
Steampunk
Remote, United States
Steampunk is looking for you to join our team as a Test Engineer. You will work with our growing DevSecOps practice delivering quality assurance services to support application, cloud and…
Added 37 mins ago
Automation Test Engineer
Steampunk
Remote, United States
Steampunk is looking for you to join our team as a Automated Test Engineer. You'll implement automation for increased efficiency and provide hands-on testing and QA expertise in mission…
Added 37 mins ago
Test Engineer
Steampunk
Remote, United States
As a Test Engineer, you will work with our growing DevSecOps practice delivering quality assurance services to support application, cloud and data systems development. We are looking for…
Added 37 mins ago
DevSecOps Engineer (Pipeline)
Steampunk
Remote, United States
As a DevSecOps Engineer, you will work with our growing DevSecOps practice delivering features to support cloud and application development. We are looking for candidates with 3-5 years…
Added 37 mins ago
Test Engineer
Steampunk
Remote, United States
As a Test Engineer, you will work with our growing DevSecOps practice delivering quality assurance services to support application, cloud and data systems development. We are looking for…
Added 37 mins ago
Integration Engineer
Steampunk
Remote, United States
As an Integration Engineer, you will work with our growing DevSecOps practice developing APIs and integration capabilities to connect data, services, and systems to help our customers…
Added 37 mins ago
Integration Engineer
Steampunk
Remote, United States
…integrations. You will participate in the testing process through test execution, test script development, test review, and analysis. You should have experience using middleware to…
Added 37 mins ago
Senior Integration Engineer
Steampunk
Remote, United States
As a Senior Integration Engineer, you will work with our growing DevSecOps practice developing APIs and integration capabilities to connect data, services, and systems to help our customers…
Added 37 mins ago
Senior Tester
Steampunk
Remote, United States
Steampunk is looking for you to join our team as a Test Engineer. You will work with our growing DevSecOps practice delivering quality assurance services to support application, cloud and…
Added 37 mins ago
Senior Data Engineer - Databricks
Steampunk
Remote, United States
Support an Agile software development lifecycle
Added 37 mins ago
DevSecOps Engineer
Steampunk
McLean, VA
Provide subject matter expertise in various risk assessments, working in an Agile environment with an understanding of the full software development life-cycle.
Added 37 mins ago
Integration Engineering Architect
Steampunk
Remote, United States
Identify technical problems, perform root cause analysis, and develop software updates and ‘fixes’
Added 37 mins ago
Software Engineer
Steampunk
Remote, United States
As a Software Engineer, you will work with our growing DevSecOps practice developing APIs and integration capabilities to connect data, services, and systems to help our customers achieve…
Added 37 mins ago
Integration Engineering Architect
Steampunk
Remote, United States
Identify technical problems, perform root cause analysis, and develop software updates and ‘fixes’
Added 52 mins ago
AE
Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Atlanta, GA
American Express
Atlanta, GA
- $24.05 to $63 USD / hour
At American Express, we empower future technologists to learn, innovate, and make an impact from day one. As an AI Engineer Intern in Enterprise Technology Services, you’ll join a 10-week…
Added 52 mins ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Atlanta, GA
American Express
Atlanta, GA
- $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 an AI Engineer I in Enterprise Technology Services, you’ll join a full-time graduate…
Added 52 mins ago
AE
Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Atlanta, GA
American Express
Atlanta, GA
- $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 an AI Engineer I in Enterprise Technology Services, you’ll join a full-time graduate…

Closed listing

JPMorgan Chase

SR Principal Software Engineer - LLM Engineering

Chicago, IL, 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.

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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: Mar 25, 2026

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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.

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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

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