Reads like an AI Engineer role: building products on existing AI models.
New York, NY, United States
Live, first seen by us 81 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design and refine prompts to improve AI model performance
Build data pipelines and dashboards with Snowflake, Python and Tableau
Monitor AI model performance and implement updates to maintain quality
Conceptualize solutions that automate and optimize business processes
Conduct rigorous testing for reliability and effectiveness of AI designs
Design and refine prompts to improve AI model performance.
Use tools like Snowflake, Python, and Tableau to create data pipelines and dashboards.
Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance.
Conceptualize solutions that automate and optimize business processes.
Conduct rigorous testing for reliability and effectiveness.
Required Qualifications, Capabilities, and Skills • Master’s Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field. • Proficiency in Python and SQL for data processing and analysis. • 3+ years relevant work experience. • Expertise in quantitative research techniques and analytics using Python. • Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables. • Knowledge of machine learning/data science theory, techniques, and tools. • Experience in leveraging Large Language Models (LLMs) and agent AI techniques. • Ability to collaborate effectively and cultivate strong partnerships. Preferred Qualifications, Capabilities, and Skills
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 81
Up longer than most. Similar jobs usually come down between day 4 and day 77.
Well past JPMorgan Chase’s usual: its jobs come down by about day 15.
From 51 similar postings that came down, and 1,000 of JPMorgan Chase’s. Coming down is not always a hire.
358 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Job Responsibilities • Conceptualize solutions that automate and optimize business processes. • Design and refine prompts to improve AI model performance. Work with subject matter experts to align prompts with business goals and user needs. • Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness. • Use tools like Snowflake, Python, and Tableau to create data pipelines and dashboards. Support AI-driven insights and decision-making. • Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance. • Partner with data owners, department managers, data engineers and other stakeholders to aid in the development of data models and algorithms • Support Customer Insights applications, as well as custom client analytics requests on an ad hoc basis. Required Qualifications, Capabilities, and Skills
Required Qualifications, Capabilities, and Skills • Master’s Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field. • Proficiency in Python and SQL for data processing and analysis. • 3+ years relevant work experience. • Expertise in quantitative research techniques and analytics using Python. • Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables. • Knowledge of machine learning/data science theory, techniques, and tools. • Experience in leveraging Large Language Models (LLMs) and agent AI techniques. • Ability to collaborate effectively and cultivate strong partnerships. Preferred Qualifications, Capabilities, and Skills
Preferred Qualifications, Capabilities, and Skills • Experience in data analysis, data science, or a related field. • Familiarity with AWS, Snowflake for data management and analysis. • Attention to detail with a proven ability to learn new concepts and skills quickly. • Understanding of quality assurance practices and the importance of data integrity. • Ability to clearly develop and document analytic requirements with stakeholders. • Familiarity with evaluation/monitoring concepts for GenAI solutions (e.g., test cases, human-in-the-loop feedback, basic quality metrics) to support reliable deployments.
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
Already applied? Track this application
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Corporate & Investment Bank, Wholesale Payments Data and Analytics is responsible for executing big data analytics projects in response to product innovation for Merchant Services. Tangible output of the programs are insights that drive optimization of location and targeted marketing strategy for small business merchants, as well as deep consumer and business insights. You’ll engage in projects that integrate data science, research, and business domain expertise, focusing on analytics, business intelligence, data engineering, and visualization.
As AI Data Scientist Senior Associate within Payments Data and Analytics, you will involve leveraging your technical skills and business acumen to collaboratively design and implement end-to-end solutions with tangible commercial impact for our clients and customers, including chat assistants and workflow automations powered by LLMs and multi-agent patterns. You will develop data pipelines and dashboards, prototype and iterate on new generative AI capabilities and features, and ensure the quality, integrity, and reliability of our intelligent solutions through testing, evaluation, and monitoring. Your contributions will help streamline operations, enhance decision-making, and foster growth through innovative AI applications.
Job Responsibilities
• Conceptualize solutions that automate and optimize business processes.
• Design and refine prompts to improve AI model performance. Work with subject matter experts to align prompts with business goals and user needs.
• Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness.
• Use tools like Snowflake, Python, and Tableau to create data pipelines and dashboards. Support AI-driven insights and decision-making.
• Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance.
• Partner with data owners, department managers, data engineers and other stakeholders to aid in the development of data models and algorithms
• Support Customer Insights applications, as well as custom client analytics requests on an ad hoc basis.
Required Qualifications, Capabilities, and Skills
• Master’s Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field.
• Proficiency in Python and SQL for data processing and analysis.
• 3+ years relevant work experience.
• Expertise in quantitative research techniques and analytics using Python.
• Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables.
• Knowledge of machine learning/data science theory, techniques, and tools.
• Experience in leveraging Large Language Models (LLMs) and agent AI techniques.
• Ability to collaborate effectively and cultivate strong partnerships.
Preferred Qualifications, Capabilities, and Skills
• Experience in data analysis, data science, or a related field.
• Familiarity with AWS, Snowflake for data management and analysis.
• Attention to detail with a proven ability to learn new concepts and skills quickly.
• Understanding of quality assurance practices and the importance of data integrity.
• Ability to clearly develop and document analytic requirements with stakeholders.
• Familiarity with evaluation/monitoring concepts for GenAI solutions (e.g., test cases, human-in-the-loop feedback, basic quality metrics) to support reliable deployments.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
New York, NY, United States
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.