below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$169,550–$220,800.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1226 open roles
on FindRole.
Listed pay typically runs
$156,750–$215,000
across 5 roles with salary data.
As a Principal Software Engineer within the Corporate Sector, you will join an agile team to build and deliver secure, scalable technology products for regulated financial services. You will architect complex engineering frameworks, develop production code for data-intensive applications, and mentor other engineers. Your core responsibilities include designing agentic AI systems with multi-agent workflows, establishing standards for LLM-based applications like RAG pipelines and vector store integrations, and governing AI-enabled engineering workflows for automated testing and incident triage. You must possess expert knowledge in Python and/or Java, along with experience in Kafka, Redis, Airflow, and Temporal. Technical requirements include proficiency in cloud-native environments like AWS, Azure, or GCP, as well as relational and NoSQL databases, Spark/PySpark, and data platforms like Databricks or Snowflake.
What does a Software Engineer earn in New Jersey?
Median $161500 from 34 postings across 14 companies.
Architect and implement complex, scalable engineering frameworks using modern software design principles.
Develop secure, high-quality production code for data-intensive applications and mentor other engineers.
Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls.
Establish engineering standards for LLM-based applications, RAG pipelines, and vector store integrations.
Architect agentic AI-enabled engineering workflows to improve delivery speed, code quality, and operational outcomes.
Serve as a subject matter expert to advise cross-functional teams on data engineering and platform architecture.
Influence senior stakeholders on technical strategy and the adoption of advanced industry standards.
Apply SDLC toolchain knowledge to improve automation value and AI-assisted development capabilities.
What we're looking for
Formal training or certification on software engineering concepts and 7+ years of applied experience.
Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field.
Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale.
Hands-on experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments.
Expert in one or more programming languages, particularly Python and/or Java.
Advanced knowledge of cloud, AI/ML, or data engineering, including experience with AWS, Azure, or GCP.
Experience with large-scale data processing, microservices, API design, Kafka, Redis, MemCached, and orchestration frameworks like Airflow or Temporal.
Advanced knowledge of relational/NoSQL databases, vector stores, data lake architectures, and data governance.
Experience with LLM orchestration frameworks, model serving infrastructure, or managed endpoints (preferred).
Familiarity with AI evaluation, red-teaming, prompt drift detection, and cost/latency monitoring (preferred).
Experience with modern data platforms such as Databricks or Snowflake (preferred).
Deep hands-on experience with Spark/PySpark and other big data processing technologies (preferred).
Expertise in open-source table formats and catalog services such as Apache Iceberg (preferred).
Awareness of AI risk and regulatory considerations relevant to financial decision-making (preferred).