JPMorganChase · 10 hours ago
Applied AI ML, Senior Associate
Houston, TX
Full-time
Onsite
Mid Level
$128K/yr - $195K/yr
3+ years expJPMorganChase is a leading financial services firm, and they are seeking an Applied AI ML Senior Associate to join their Corporate Technology Data Science and AI team. In this role, you will design, build, and deploy scalable analytical solutions while collaborating with stakeholders to drive the adoption of AI technologies.
Asset ManagementBankingFinancial Services
Responsibilities
Develop and implement generative AI and agentic AI solutions using Python to enhance automation and decision-making
Design, deploy, and manage prompt-based models on large language models for natural language processing tasks
Conduct research and guide best practices in prompt engineering to optimize model performance
Collaborate with cross-functional teams to identify business requirements and deliver tailored AI solutions
Communicate complex technical concepts clearly to both technical and non-technical stakeholders, including senior leadership
Build and maintain data pipelines and processing workflows for prompt engineering using cloud services
Develop and maintain tools and frameworks for model training, evaluation, and optimization
Analyze and interpret data to assess model effectiveness and identify improvement opportunities
Lead stakeholder engagement to ensure alignment of AI solutions with business objectives
Support the deployment of machine learning solutions into production business workflows
Foster a culture of innovation and continuous improvement within the team
Qualification
Required
Master's degree in a data science-related discipline, plus three years of industry experience, or PhD in a data science-related discipline
Extensive experience in data analysis, transformation, and analytics using Python
Proven ability to develop and maintain production-quality code
Experience with continuous integration and unit test development
Strong written and verbal communication skills for technical and business audiences
Demonstrated scientific thinking and problem-solving ability
Ability to work independently and collaboratively in team environments
Detail-oriented, curious, and motivated by complex analytical challenges
Experience building and managing data pipelines and workflows
Track record of delivering actionable insights from data
Commitment to professional growth and learning in AI/ML technologies
Preferred
Familiarity with the financial services industry
Experience with A/B testing and data-driven product development
Knowledge of cloud-native deployment in large-scale distributed environments
Experience developing and debugging production-quality machine learning code
Exposure to prompt engineering and orchestration libraries for large language models
Industry experience implementing machine learning solutions in business contexts
Ability to drive innovation and influence technology adoption within organizations
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
JPMorganChase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
10001+ employees
H1B Sponsorship
JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3471)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)
Funding
Current Stage
Public CompanyTotal Funding
unknown1998-02-01IPO
Leadership Team
Allison Beer
CEO of Card Services and Connected Commerce
Dan Mendelson
CEO, Morgan Health
Recent News
2026-01-23
2026-01-22
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