This listing doesn't post a salary. Most similar roles pay
$162,000–$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
1117 open roles
on FindRole.
Listed pay typically runs
$186,160–$215,000
across 7 roles with salary data.
As a Software Engineer III - Agentic AI, Java/Python within the AI For Technology group, you will join an agile team to design and deliver secure, stable, and scalable technology products. You will manage the machine learning development life cycle by transforming business requirements into technical specifications while producing high-quality production code and architecture artifacts for complex applications. Your daily work involves troubleshooting technical problems, analyzing large datasets to identify patterns, and contributing to engineering communities of practice. The role requires expertise in agentic workflows using frameworks like LangChain or LangGraph, alongside deep knowledge of Large Language Models and Natural Language Processing. You will utilize Python, Spark, and NumPy while leveraging machine learning frameworks such as PyTorch, TensorFlow, and Keras within AWS cloud services like SageMaker to solve complex technical problems across various business functions.
What does a Software Engineer earn?
Median $197500 from 2196 postings across 133 companies.
Deliver AI/ML projects through the full development lifecycle using Agile methodology.
Translate business requirements into technical AI/ML specifications and project milestones.
Develop high-quality production code and maintain algorithms that run synchronously with existing systems.
Create architecture and design artifacts for complex applications while ensuring all constraints are met.
Analyze large, diverse datasets to create visualizations and reports for system improvement.
Identify hidden patterns in data to improve coding hygiene and system architecture.
Explore and integrate emerging technologies into the firm's software engineering practices.
What we're looking for
Formal training or certification in software engineering concepts.
3+ years of applied experience in software engineering.
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.
Proficiency with frameworks including TensorFlow, PyTorch, Keras, Scikit-Learn, or MXNet.
Strong programming skills in Python and Spark, including vector operations (NumPy, SciPy) and distributed computation.
Familiarity with agentic workflows (LangChain, LangGraph, Auto-GPT) and AWS Cloud services like EMR and SageMaker.