JPMorgan Chase
Applied AI/ML - Vice President
$138K–$260K
Chicago, IL +2 · Director · Full-time · Posted Aug 31, 2026
- Location
- Chicago, IL
Plano, TX
Jersey City, NJ - Experience
- 7+ years applying data science and ML techniques to business problems; 1+ year working with generative AI solutions or LLMs.
- Education
- Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematical Sciences, or Machine Learning.
About the job
Leads applied AI/ML initiatives for Wholesale Lending Services, developing and operationalizing machine learning and generative AI solutions in collaboration with business and technology teams.
What you'll do
- Lead AI/ML programs, help define problem statements and roadmaps, and communicate progress to stakeholders.
- Develop and operationalize ML pipelines and models for use cases including document Q&A, search, information retrieval, classification, personalization, and recommendations.
- Collaborate with product, engineering, business, and partner teams to deploy solutions and deliver measurable business impact.
What they ask for
- Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematical Sciences, or Machine Learning, with a strong mathematics and statistics background.
- 7+ years’ experience applying data science and ML techniques to business problems, plus experience with a programming language such as Python, Java, or C/C++.
- Experience with LLMs and prompt engineering; 1+ year working with generative AI solutions or LLMs such as GPT, Claude, or Llama.
- Experience building and deploying ML models on AWS; strong NLP, generative AI, machine learning, and deep learning expertise.
Nice to have
- Published research in machine learning, deep learning, or reinforcement learning at a major conference or journal.
- Experience with A/B experimentation and data- or metric-driven product development.
Pay
USD $137,750.00-$235,000.00 base salary (Chicago, IL); USD $137,750.00-$235,000.00 base salary (Plano, TX); USD $171,000.00-$260,000.00 base salary (Jersey City, NJ)
Tools
Python, Java, C/C++, Transformers, Hugging Face, TensorFlow, PyTorch, AWS
AI focus
Develops and deploys machine learning, deep learning, NLP, generative AI, and LLM solutions, including document Q&A, search, information retrieval, classification, personalization, and recommendation systems.
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