AI/ML Engineer - Senior Associate
Salary not listed • Jersey City, NJ, United States • Full-time
Posted 4d ago
No salary is listed. Many US states require employers to post a pay range, so ask about pay early.
Job Location
Jersey City, NJ, United States
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
LLM Engineer
About the job
JPMC is hiring for its growing Asset and Wealth Management AI Engineering team, operating with a startup mentality to build next-generation AI applications and platforms for the financial services industry. We are seeking a hands-on AI Engineering lead and domain expert passionate about creating cutting-edge business solutions powered by AI. As a Senior Associate AI/ML Engineer, you will take a lead role in hands-on development of high-impact business solutions by analyzing data, developing advanced ML and LLM models, and deploying them to production environments on AWS or Azure. You will leverage your extensive development expertise and a drive for innovation to solve complex business problems for our Private Bank clients, embracing and encouraging the adoption of leading-edge technologies and methodologies.
Responsibilities
- Collaborate with firmwide AI/ML teams, business partners, and geographically dispersed colleagues to drive alignment and accelerate adoption of common AI capabilities.
- Architect and implement lighthouse ML and LLM-powered solutions.
- Design and implement scalable and reliable data processing pipelines and deploy model inference services.
- Experiment, develop, and productionize high-quality machine learning models, services, and platforms.
- Deploy solutions into public cloud infrastructure.
Requirements
- MS in Computer Science, Statistics, Mathematics, or Machine Learning with a minimum of 3 years of development experience, including at least 2 years in AI solutions.
- Experience using LLMs (e.g., OpenAI, Anthropic) for business problems, including workflow tools for tracing, evaluations, and guardrails.
- Strong programming skills in Python and deep knowledge of Data Structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics.
- Demonstrated ability in 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 stores (e.g., OpenSearch, Redis).
- Proven leadership capacity, including AI/ML idea generation and GenAI-based solutions.
- Excellent communication skills for interacting with senior technical and business partners.