below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$159,937–$235,750.
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 Software Engineer III - Agentic AI, Java/Python, you will join the AI For Technology group as a seasoned member of an agile team. You will design and deliver trusted, scalable technology products by transforming business requirements into AI/ML specifications and managing the full machine learning development life cycle. Your daily responsibilities include creating secure production code, maintaining algorithms, and producing architecture artifacts for complex applications. You will analyze large datasets to identify patterns and drive improvements to system architecture. The role requires expertise in Python, Spark, and vector operations using Numpy and Scipy, alongside frameworks like Tensorflow, Pytorch, and Scikit-Learn. You will work with agentic workflows using LangChain and LangGraph to solve technical problems within AWS Cloud services like Sagemaker and EMR.
What does a Software Engineer earn in New Jersey?
Median $161500 from 34 postings across 14 companies.
Deliver AI/ML projects through the full development life cycle using Agile methodology.
Transform business requirements into technical AI/ML specifications and project milestones.
Create secure, high-quality production code and maintain synchronous algorithms.
Produce architecture and design artifacts for complex applications while ensuring design constraints are met.
Develop visualizations and reports from large datasets to improve software applications.
Identify hidden patterns in data to improve coding hygiene and system architecture.
Execute technical troubleshooting and design solutions beyond conventional approaches.
What we're looking for
Formal training or certification on software engineering concepts and 3+ years of applied experience.
Experience as a hands-on practitioner developing production AI/ML solutions.
Deep knowledge and experience in machine learning and artificial intelligence.
Expertise in at least one area: LLMs, NLP, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking/Recommendation, or Time Series Analysis.
Knowledge of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics.
Demonstrated understanding of machine learning frameworks including Tensorflow, Pytorch, pyG, Keras, MXNet, and Scikit-Learn.
Strong programming knowledge of Python and Spark, with a grasp of vector operations (NumPy, SciPy) and distributed computation (Dask, Ray, Polars).
Familiarity with agentic workflows and frameworks like LangChain, LangGraph, or Auto-GPT; familiarity with AWS Cloud services (preferred).