below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$157,200–$231,550.
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.
The Senior AI Engineering Lead , Asset Wealth Management Private Bank - Vice President joins the Asset and Wealth Management AI Engineering team to build high-impact AI applications and platforms. This role involves hands-on development of business solutions through data analysis, creating machine learning and LLM models, and deploying these models to production environments on AWS or Azure. Key responsibilities include designing scalable data processing pipelines, implementing model inference services, and collaborating with firmwide partners to drive AI adoption. Candidates must possess strong programming skills in Python, deep knowledge of Data Structures, Algorithms, and Statistics, and experience with OpenAI or Anthropic models. The role requires expertise in SQL and NoSQL stores like Postgres, OpenSearch, and Redis to solve complex business problems within the financial services industry.
Lead the hands-on architecture and implementation of lighthouse ML and LLM-powered solutions.
Develop and productionize high-quality machine learning models, services, and platforms.
Design and implement highly scalable and reliable data processing pipelines.
Deploy model inference services and solutions into public cloud infrastructure like AWS or Azure.
Perform independent end-to-end solution design with a focus on modern architecture, scalability, and security.
Develop LLM workflows including tracing, evaluations, and guardrails to solve business problems.
Manage data models and real-time data processing using SQL and NoSQL stores.
What we're looking for
MS in Computer Science, Statistics, Mathematics, or Machine Learning.
Minimum 7 years of development experience, with at least 4 years working on AI solutions.
Experience using LLMs to solve business problems, including tracing, evaluations, and guardrails.
Strong programming skills in Python and deep knowledge in Data Structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics.
Demonstrated ability to perform independent end-to-end solution design with a focus on modern architecture, scalability, and security.
Knowledge of data management, including data model design and real-time data processing on SQL (e.g., Postgres) and NoSQL (e.g., OpenSearch, Redis) stores.
Proven leadership capacity for AI/ML idea generation and excellent communication skills with senior technical and business partners.
Experience in the financial domain, LLM fine-tuning, full-stack development (Next.js/Svelte), or high-performance languages (Go/Rust) (preferred).
Machine Learning
Deep Learning
Generative AI
LLMs
NLP
Python
Java
C++
PyTorch
TensorFlow
Hugging Face
Transformers
NumPy
Scikit-Learn
Pandas
AWS
SageMaker
EC2
Glue
Prompt Engineering
Big Data
Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Data Analytics
Business Intelligence
Tableau
Power BI
Qlik
Alteryx
JIRA
Confluence
Microsoft Teams
Predictive Modeling
Model Governance
Data Architecture