GenAI Engineering Lead

Testing Site - JPMC; Jersey City (NJ); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an ML and GenAI Lead Engineer to spearhead hands-on development of AI-driven solutions and platforms for the Asset and Wealth Management AI Engineering team.

You will lead design, development, and production deployment of ML/LLM models across cloud environments, collaborating with a global team to deliver scalable, high-impact outcomes. The role requires strong Python skills, cloud expertise (AWS/Azure), and experience with LLMs, data pipelines, and scalable

Qualifications

• MS in Computer Science, Statistics, Mathematics or Machine Learning.
• Minimum 5 years development experience.
• Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions.
• Solid Python programming skills required.
• Expert knowledge of one of the cloud computing platforms preferred: AWS, Azure, Kubernetes.
• Experience in using LLMs (OpenAI, Claude or other models) to solve business problems, including full workflow toolset such as tracing, evaluations and guardrails.
• Knowledge of data pipelines, both batch and real-time data processing on SQL and NoSQL stores such as Postgres, OpenSearch and Redis.
• Expertise in data structures, algorithms, machine learning, data mining, information retrieval, statistics.
• Excellent communication skills and ability to communicate with senior technical and business partners.

Responsibilities

• Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions.
• Close partnership with peers in a geographically dispersed team and colleagues across organizational lines.
• Collaborate across JPMorgan AWM’s lines of business and functions to accelerate adoption of common AI capabilities.
• Design and implement highly scalable and reliable data processing pipelines and deploy model inference services.
• Deploy solutions into public cloud infrastructure.
• Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact.

Skills

Python programming

ML model development

GenAI experience

Cloud platforms

LLM deployment

Data pipelines

Postgres

OpenSearch

Redis

Team leadership

Stakeholder communication

Education

MS in Computer Science/Statistics/Math/ML

Tools

PyTorch

Keras

MXNet

Scikit-Learn

OpenAI

Claude

AWS

Azure

Kubernetes

Job description

JPMC is hiring the best talents to join the growing Asset and Wealth Management AI Engineering team. We are executing like a startup and building next-generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for hands-on ML Engineering leader and expert who is excited about the opportunity.

As a ML and GenAI Lead Engineer, you will play a lead role as a senior member of our global team. Your responsibilities will entail hands on development of high-impact business solutions through data analysis, developing cutting edge ML and LLM models, and deploying these models to production environments on AWS or Azure.

You’ll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you’re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit.

Job Responsibilities

• Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions
• Close partnership with peers in a geographically dispersed team and colleagues across organizational lines
• Collaborate across JPMorgan AWM’s lines of business and functions to accelerate adoption of common AI capabilities
• Design and implement highly scalable and reliable data processing pipelines and deploy model inference services.
• Deploy solutions into public cloud infrastructure
• Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact

Required qualifications, capabilities, and skills

• MS in Computer Science, Statistics, Mathematics or Machine Learning.
• Minimum 5 years development experience
• Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions
• Solid Python programming skills required
• Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes.
• Experience in using LLMs (OpenAI, Claude or other models ) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails
• Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis)
• Expertise in application, data, and infrastructure architecture disciplines
• Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
• Excellent communication skills and ability to communicate with senior technical and business partners

Preferred qualifications, capabilities, and skills

• Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
• Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn