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AI/ML Engineer – Agentic Private Bank Engineer , Sr Associate

JP Morgan Chase

Software and Technology Jobs

AI/ML Engineer – Agentic Private Bank Engineer , Sr Associate

full-timePosted: Aug 28, 2025

Job Description

AI/ML Engineer – Agentic Private Bank Engineer , Sr Associate

Location: Jersey City, NJ, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of leveraging artificial intelligence to transform private banking, and we're seeking a talented AI/ML Engineer – Agentic Private Bank Engineer, Sr Associate to join our innovative team in Jersey City, NJ. As part of the Predictive Science category, this role focuses on building autonomous agents that power our Agentic Private Bank strategy, enabling smarter, more personalized client interactions in wealth management. You'll contribute to creating AI systems that autonomously analyze market trends, provide tailored investment advice, and streamline compliance processes, all while upholding the highest standards of security and ethical AI practices in the financial services industry. In this senior associate position, you'll design and implement cutting-edge multi-agent architectures using advanced ML techniques, integrating large language models and reinforcement learning to handle complex financial tasks. Collaborating with private banking experts and data scientists, you'll ensure these agents seamlessly integrate with JPMorgan's enterprise platforms, driving operational efficiency and client satisfaction. Your work will directly impact how high-net-worth clients experience our services, from predictive portfolio optimization to real-time query resolution, all within a regulated environment that demands precision and innovation. We value engineers who thrive in dynamic, collaborative settings and are passionate about applying AI to solve real-world financial challenges. This role offers the opportunity to grow within a global leader in finance, with exposure to diverse technologies and business lines. If you're ready to shape the future of agentic AI in private banking at JPMorgan Chase, apply today and join a team that's redefining what's possible in wealth management.

Key Responsibilities

  • Design, develop, and deploy autonomous AI agents as part of JPMorgan Chase's Private Bank Agentic strategy to enhance client experiences in wealth management
  • Collaborate with cross-functional teams including data scientists, software engineers, and private banking experts to integrate AI agents into core banking platforms
  • Build and optimize multi-agent systems that can autonomously handle tasks such as personalized investment recommendations, portfolio analysis, and client query resolution
  • Leverage large language models and reinforcement learning to create intelligent agents capable of reasoning and decision-making in financial contexts
  • Ensure AI solutions adhere to JPMorgan's stringent security, privacy, and regulatory standards, including data governance for sensitive client information
  • Conduct performance tuning, testing, and monitoring of AI agents in production environments to maintain high reliability and scalability
  • Research and incorporate emerging AI technologies to innovate within the Predictive Science category, driving efficiency in private banking operations
  • Document technical architectures, contribute to code reviews, and mentor junior engineers on best practices for agentic AI development
  • Analyze business requirements from private banking stakeholders and translate them into robust AI/ML models
  • Stay updated on industry trends in AI for finance and propose enhancements to the Agentic Private Bank framework

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field; Master's degree preferred
  • 3+ years of experience in AI/ML engineering, with a focus on building and deploying autonomous agents or multi-agent systems
  • Proficiency in Python and relevant ML frameworks such as TensorFlow, PyTorch, or LangChain for agentic AI development
  • Experience with natural language processing (NLP) and large language models (LLMs) in a production environment
  • Strong understanding of financial services, particularly private banking, wealth management, or regulatory compliance in AI applications
  • Demonstrated ability to work with cloud platforms like AWS, Azure, or GCP for scalable AI deployments
  • Excellent problem-solving skills and ability to handle complex, ambiguous problems in a fast-paced environment

Preferred Qualifications

  • Advanced degree (Master's or PhD) in AI, Machine Learning, or a related field
  • Experience in the financial industry, specifically with JPMorgan Chase or similar institutions, developing AI solutions for client advisory or risk management
  • Familiarity with agentic AI frameworks like AutoGen or CrewAI, and integration with enterprise systems
  • Knowledge of ethical AI practices, bias mitigation, and compliance with financial regulations such as SEC or FINRA
  • Prior contributions to open-source AI projects or publications in AI/ML conferences

Required Skills

  • Python programming expertise
  • Machine Learning frameworks (TensorFlow, PyTorch)
  • Natural Language Processing (NLP) and LLMs
  • Agentic AI development and multi-agent systems
  • Cloud computing (AWS, Azure, GCP)
  • Data engineering and ETL processes
  • Financial domain knowledge in private banking
  • Regulatory compliance in AI (e.g., GDPR, SEC)
  • Software development lifecycle (SDLC) and Agile methodologies
  • Problem-solving and analytical thinking
  • Collaboration and communication skills
  • Version control (Git) and CI/CD pipelines
  • Model deployment and MLOps
  • Ethical AI and bias detection
  • Time management in high-pressure environments

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to JPMorgan's internal training programs
  • Employee stock purchase plan and other financial wellness benefits
  • Wellness programs with gym memberships, mental health support, and onsite fitness facilities in Jersey City
  • Flexible work arrangements, including hybrid options for work-life balance

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, US

Salary

Estimated Salary Rangehigh confidence

180,000 - 280,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python programming expertiseintermediate
  • Machine Learning frameworks (TensorFlow, PyTorch)intermediate
  • Natural Language Processing (NLP) and LLMsintermediate
  • Agentic AI development and multi-agent systemsintermediate
  • Cloud computing (AWS, Azure, GCP)intermediate
  • Data engineering and ETL processesintermediate
  • Financial domain knowledge in private bankingintermediate
  • Regulatory compliance in AI (e.g., GDPR, SEC)intermediate
  • Software development lifecycle (SDLC) and Agile methodologiesintermediate
  • Problem-solving and analytical thinkingintermediate
  • Collaboration and communication skillsintermediate
  • Version control (Git) and CI/CD pipelinesintermediate
  • Model deployment and MLOpsintermediate
  • Ethical AI and bias detectionintermediate
  • Time management in high-pressure environmentsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field; Master's degree preferred (experience)
  • 3+ years of experience in AI/ML engineering, with a focus on building and deploying autonomous agents or multi-agent systems (experience)
  • Proficiency in Python and relevant ML frameworks such as TensorFlow, PyTorch, or LangChain for agentic AI development (experience)
  • Experience with natural language processing (NLP) and large language models (LLMs) in a production environment (experience)
  • Strong understanding of financial services, particularly private banking, wealth management, or regulatory compliance in AI applications (experience)
  • Demonstrated ability to work with cloud platforms like AWS, Azure, or GCP for scalable AI deployments (experience)
  • Excellent problem-solving skills and ability to handle complex, ambiguous problems in a fast-paced environment (experience)

Preferred Qualifications

  • Advanced degree (Master's or PhD) in AI, Machine Learning, or a related field (experience)
  • Experience in the financial industry, specifically with JPMorgan Chase or similar institutions, developing AI solutions for client advisory or risk management (experience)
  • Familiarity with agentic AI frameworks like AutoGen or CrewAI, and integration with enterprise systems (experience)
  • Knowledge of ethical AI practices, bias mitigation, and compliance with financial regulations such as SEC or FINRA (experience)
  • Prior contributions to open-source AI projects or publications in AI/ML conferences (experience)

Responsibilities

  • Design, develop, and deploy autonomous AI agents as part of JPMorgan Chase's Private Bank Agentic strategy to enhance client experiences in wealth management
  • Collaborate with cross-functional teams including data scientists, software engineers, and private banking experts to integrate AI agents into core banking platforms
  • Build and optimize multi-agent systems that can autonomously handle tasks such as personalized investment recommendations, portfolio analysis, and client query resolution
  • Leverage large language models and reinforcement learning to create intelligent agents capable of reasoning and decision-making in financial contexts
  • Ensure AI solutions adhere to JPMorgan's stringent security, privacy, and regulatory standards, including data governance for sensitive client information
  • Conduct performance tuning, testing, and monitoring of AI agents in production environments to maintain high reliability and scalability
  • Research and incorporate emerging AI technologies to innovate within the Predictive Science category, driving efficiency in private banking operations
  • Document technical architectures, contribute to code reviews, and mentor junior engineers on best practices for agentic AI development
  • Analyze business requirements from private banking stakeholders and translate them into robust AI/ML models
  • Stay updated on industry trends in AI for finance and propose enhancements to the Agentic Private Bank framework

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to JPMorgan's internal training programs
  • general: Employee stock purchase plan and other financial wellness benefits
  • general: Wellness programs with gym memberships, mental health support, and onsite fitness facilities in Jersey City
  • general: Flexible work arrangements, including hybrid options for work-life balance

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JP Morgan Chase logo

AI/ML Engineer – Agentic Private Bank Engineer , Sr Associate

JP Morgan Chase

Software and Technology Jobs

AI/ML Engineer – Agentic Private Bank Engineer , Sr Associate

full-timePosted: Aug 28, 2025

Job Description

AI/ML Engineer – Agentic Private Bank Engineer , Sr Associate

Location: Jersey City, NJ, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of leveraging artificial intelligence to transform private banking, and we're seeking a talented AI/ML Engineer – Agentic Private Bank Engineer, Sr Associate to join our innovative team in Jersey City, NJ. As part of the Predictive Science category, this role focuses on building autonomous agents that power our Agentic Private Bank strategy, enabling smarter, more personalized client interactions in wealth management. You'll contribute to creating AI systems that autonomously analyze market trends, provide tailored investment advice, and streamline compliance processes, all while upholding the highest standards of security and ethical AI practices in the financial services industry. In this senior associate position, you'll design and implement cutting-edge multi-agent architectures using advanced ML techniques, integrating large language models and reinforcement learning to handle complex financial tasks. Collaborating with private banking experts and data scientists, you'll ensure these agents seamlessly integrate with JPMorgan's enterprise platforms, driving operational efficiency and client satisfaction. Your work will directly impact how high-net-worth clients experience our services, from predictive portfolio optimization to real-time query resolution, all within a regulated environment that demands precision and innovation. We value engineers who thrive in dynamic, collaborative settings and are passionate about applying AI to solve real-world financial challenges. This role offers the opportunity to grow within a global leader in finance, with exposure to diverse technologies and business lines. If you're ready to shape the future of agentic AI in private banking at JPMorgan Chase, apply today and join a team that's redefining what's possible in wealth management.

Key Responsibilities

  • Design, develop, and deploy autonomous AI agents as part of JPMorgan Chase's Private Bank Agentic strategy to enhance client experiences in wealth management
  • Collaborate with cross-functional teams including data scientists, software engineers, and private banking experts to integrate AI agents into core banking platforms
  • Build and optimize multi-agent systems that can autonomously handle tasks such as personalized investment recommendations, portfolio analysis, and client query resolution
  • Leverage large language models and reinforcement learning to create intelligent agents capable of reasoning and decision-making in financial contexts
  • Ensure AI solutions adhere to JPMorgan's stringent security, privacy, and regulatory standards, including data governance for sensitive client information
  • Conduct performance tuning, testing, and monitoring of AI agents in production environments to maintain high reliability and scalability
  • Research and incorporate emerging AI technologies to innovate within the Predictive Science category, driving efficiency in private banking operations
  • Document technical architectures, contribute to code reviews, and mentor junior engineers on best practices for agentic AI development
  • Analyze business requirements from private banking stakeholders and translate them into robust AI/ML models
  • Stay updated on industry trends in AI for finance and propose enhancements to the Agentic Private Bank framework

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field; Master's degree preferred
  • 3+ years of experience in AI/ML engineering, with a focus on building and deploying autonomous agents or multi-agent systems
  • Proficiency in Python and relevant ML frameworks such as TensorFlow, PyTorch, or LangChain for agentic AI development
  • Experience with natural language processing (NLP) and large language models (LLMs) in a production environment
  • Strong understanding of financial services, particularly private banking, wealth management, or regulatory compliance in AI applications
  • Demonstrated ability to work with cloud platforms like AWS, Azure, or GCP for scalable AI deployments
  • Excellent problem-solving skills and ability to handle complex, ambiguous problems in a fast-paced environment

Preferred Qualifications

  • Advanced degree (Master's or PhD) in AI, Machine Learning, or a related field
  • Experience in the financial industry, specifically with JPMorgan Chase or similar institutions, developing AI solutions for client advisory or risk management
  • Familiarity with agentic AI frameworks like AutoGen or CrewAI, and integration with enterprise systems
  • Knowledge of ethical AI practices, bias mitigation, and compliance with financial regulations such as SEC or FINRA
  • Prior contributions to open-source AI projects or publications in AI/ML conferences

Required Skills

  • Python programming expertise
  • Machine Learning frameworks (TensorFlow, PyTorch)
  • Natural Language Processing (NLP) and LLMs
  • Agentic AI development and multi-agent systems
  • Cloud computing (AWS, Azure, GCP)
  • Data engineering and ETL processes
  • Financial domain knowledge in private banking
  • Regulatory compliance in AI (e.g., GDPR, SEC)
  • Software development lifecycle (SDLC) and Agile methodologies
  • Problem-solving and analytical thinking
  • Collaboration and communication skills
  • Version control (Git) and CI/CD pipelines
  • Model deployment and MLOps
  • Ethical AI and bias detection
  • Time management in high-pressure environments

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to JPMorgan's internal training programs
  • Employee stock purchase plan and other financial wellness benefits
  • Wellness programs with gym memberships, mental health support, and onsite fitness facilities in Jersey City
  • Flexible work arrangements, including hybrid options for work-life balance

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, US

Salary

Estimated Salary Rangehigh confidence

180,000 - 280,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python programming expertiseintermediate
  • Machine Learning frameworks (TensorFlow, PyTorch)intermediate
  • Natural Language Processing (NLP) and LLMsintermediate
  • Agentic AI development and multi-agent systemsintermediate
  • Cloud computing (AWS, Azure, GCP)intermediate
  • Data engineering and ETL processesintermediate
  • Financial domain knowledge in private bankingintermediate
  • Regulatory compliance in AI (e.g., GDPR, SEC)intermediate
  • Software development lifecycle (SDLC) and Agile methodologiesintermediate
  • Problem-solving and analytical thinkingintermediate
  • Collaboration and communication skillsintermediate
  • Version control (Git) and CI/CD pipelinesintermediate
  • Model deployment and MLOpsintermediate
  • Ethical AI and bias detectionintermediate
  • Time management in high-pressure environmentsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field; Master's degree preferred (experience)
  • 3+ years of experience in AI/ML engineering, with a focus on building and deploying autonomous agents or multi-agent systems (experience)
  • Proficiency in Python and relevant ML frameworks such as TensorFlow, PyTorch, or LangChain for agentic AI development (experience)
  • Experience with natural language processing (NLP) and large language models (LLMs) in a production environment (experience)
  • Strong understanding of financial services, particularly private banking, wealth management, or regulatory compliance in AI applications (experience)
  • Demonstrated ability to work with cloud platforms like AWS, Azure, or GCP for scalable AI deployments (experience)
  • Excellent problem-solving skills and ability to handle complex, ambiguous problems in a fast-paced environment (experience)

Preferred Qualifications

  • Advanced degree (Master's or PhD) in AI, Machine Learning, or a related field (experience)
  • Experience in the financial industry, specifically with JPMorgan Chase or similar institutions, developing AI solutions for client advisory or risk management (experience)
  • Familiarity with agentic AI frameworks like AutoGen or CrewAI, and integration with enterprise systems (experience)
  • Knowledge of ethical AI practices, bias mitigation, and compliance with financial regulations such as SEC or FINRA (experience)
  • Prior contributions to open-source AI projects or publications in AI/ML conferences (experience)

Responsibilities

  • Design, develop, and deploy autonomous AI agents as part of JPMorgan Chase's Private Bank Agentic strategy to enhance client experiences in wealth management
  • Collaborate with cross-functional teams including data scientists, software engineers, and private banking experts to integrate AI agents into core banking platforms
  • Build and optimize multi-agent systems that can autonomously handle tasks such as personalized investment recommendations, portfolio analysis, and client query resolution
  • Leverage large language models and reinforcement learning to create intelligent agents capable of reasoning and decision-making in financial contexts
  • Ensure AI solutions adhere to JPMorgan's stringent security, privacy, and regulatory standards, including data governance for sensitive client information
  • Conduct performance tuning, testing, and monitoring of AI agents in production environments to maintain high reliability and scalability
  • Research and incorporate emerging AI technologies to innovate within the Predictive Science category, driving efficiency in private banking operations
  • Document technical architectures, contribute to code reviews, and mentor junior engineers on best practices for agentic AI development
  • Analyze business requirements from private banking stakeholders and translate them into robust AI/ML models
  • Stay updated on industry trends in AI for finance and propose enhancements to the Agentic Private Bank framework

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to JPMorgan's internal training programs
  • general: Employee stock purchase plan and other financial wellness benefits
  • general: Wellness programs with gym memberships, mental health support, and onsite fitness facilities in Jersey City
  • general: Flexible work arrangements, including hybrid options for work-life balance

Target Your Resume for "AI/ML Engineer – Agentic Private Bank Engineer , Sr Associate" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for AI/ML Engineer – Agentic Private Bank Engineer , Sr Associate. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "AI/ML Engineer – Agentic Private Bank Engineer , Sr Associate" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Predictive ScienceFinancial ServicesBankingJP MorganPredictive Science

Answer 10 quick questions to check your fit for AI/ML Engineer – Agentic Private Bank Engineer , Sr Associate @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.