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Software Engineer III - Python/Agentic AI

JP Morgan Chase

Software and Technology Jobs

Software Engineer III - Python/Agentic AI

full-timePosted: Oct 3, 2025

Job Description

Software Engineer III - Python/Agentic AI

Location: Wilmington, DE, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of leveraging cutting-edge technology to protect our global financial ecosystem. As a Software Engineer III - Python/Agentic AI in our Wilmington, DE office, you will play a pivotal role in harnessing agentic AI to proactively safeguard the firm and our customers. This position involves developing advanced AI systems that autonomously detect and mitigate risks, such as fraud, cyber threats, and compliance issues, within the dynamic landscape of financial services. You will contribute to innovative solutions that enhance security and operational resilience, ensuring JP Morgan Chase remains a leader in responsible banking. Your key responsibilities will include designing and implementing Python-based agentic AI models that integrate seamlessly with our vast data infrastructure. Working closely with risk management, cybersecurity, and engineering teams, you will build scalable applications that process real-time transaction data to identify anomalies and automate responses. This role demands a deep understanding of financial regulations and the ability to apply AI ethically to minimize risks while maximizing efficiency. You will also participate in code optimization, testing, and deployment, utilizing JP Morgan's robust technology stack to deliver high-impact results. We seek a collaborative innovator who thrives in a fast-paced environment and is passionate about using AI to drive positive change in finance. This position offers opportunities for professional growth within one of the world's largest financial institutions, where your work directly contributes to protecting millions of customers and upholding the integrity of global markets. Join us in Wilmington, DE, to advance your career while making a tangible difference in financial security.

Key Responsibilities

  • Design and implement agentic AI systems using Python to proactively detect and mitigate financial risks for JP Morgan Chase and its customers
  • Develop scalable software solutions that integrate AI agents for real-time threat monitoring in banking operations
  • Collaborate with cross-functional teams including data scientists, risk analysts, and compliance experts to enhance risk safeguards
  • Build and optimize data pipelines for processing large volumes of transaction data in a secure environment
  • Conduct code reviews, testing, and deployment of AI models to ensure reliability and compliance with financial regulations
  • Monitor and improve AI agent performance, iterating based on emerging threats in the financial services landscape
  • Contribute to innovation in AI-driven cybersecurity, leveraging JP Morgan's technology stack to protect against fraud and cyber risks
  • Document technical solutions and mentor junior engineers on best practices in agentic AI development
  • Stay abreast of industry trends in AI and financial risk management to recommend proactive enhancements

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • Minimum of 5 years of professional software engineering experience, with a focus on Python development
  • Proven experience in developing AI/ML models, particularly in agentic AI systems for risk detection and mitigation
  • Strong understanding of financial services regulations and risk management practices in banking
  • Experience with data processing pipelines and large-scale data environments in a secure financial setting
  • Ability to obtain necessary security clearances for handling sensitive financial data

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline
  • Prior experience at a major financial institution like JP Morgan Chase, working on fraud detection or cybersecurity projects
  • Familiarity with JP Morgan's internal tools and platforms for AI deployment
  • Certifications in AWS, Azure, or Google Cloud for AI workloads

Required Skills

  • Proficiency in Python programming for AI and machine learning applications
  • Expertise in agentic AI frameworks such as LangChain or AutoGen
  • Knowledge of machine learning libraries like TensorFlow, PyTorch, or scikit-learn
  • Experience with cloud platforms (AWS, Azure) for deploying AI models
  • Strong data handling skills using SQL, Pandas, and big data tools like Spark
  • Understanding of cybersecurity principles and financial risk modeling
  • Familiarity with DevOps practices including CI/CD pipelines and containerization (Docker, Kubernetes)
  • Analytical problem-solving and attention to detail in high-stakes environments
  • Effective communication and collaboration in team settings
  • Adaptability to fast-paced financial industry demands
  • Knowledge of regulatory compliance (e.g., GDPR, SOX) in AI implementations
  • Experience with version control systems like Git
  • Basic understanding of natural language processing (NLP) for AI agents
  • Project management skills for end-to-end software delivery

Benefits

  • 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 programs and tuition reimbursement for advanced education
  • Employee stock purchase plan and performance-based bonuses
  • Wellness programs including gym memberships and mental health support
  • Flexible work arrangements and hybrid work options in Wilmington, DE
  • Access to JP Morgan's global mobility programs for career advancement

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

180,000 - 250,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Proficiency in Python programming for AI and machine learning applicationsintermediate
  • Expertise in agentic AI frameworks such as LangChain or AutoGenintermediate
  • Knowledge of machine learning libraries like TensorFlow, PyTorch, or scikit-learnintermediate
  • Experience with cloud platforms (AWS, Azure) for deploying AI modelsintermediate
  • Strong data handling skills using SQL, Pandas, and big data tools like Sparkintermediate
  • Understanding of cybersecurity principles and financial risk modelingintermediate
  • Familiarity with DevOps practices including CI/CD pipelines and containerization (Docker, Kubernetes)intermediate
  • Analytical problem-solving and attention to detail in high-stakes environmentsintermediate
  • Effective communication and collaboration in team settingsintermediate
  • Adaptability to fast-paced financial industry demandsintermediate
  • Knowledge of regulatory compliance (e.g., GDPR, SOX) in AI implementationsintermediate
  • Experience with version control systems like Gitintermediate
  • Basic understanding of natural language processing (NLP) for AI agentsintermediate
  • Project management skills for end-to-end software deliveryintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • Minimum of 5 years of professional software engineering experience, with a focus on Python development (experience)
  • Proven experience in developing AI/ML models, particularly in agentic AI systems for risk detection and mitigation (experience)
  • Strong understanding of financial services regulations and risk management practices in banking (experience)
  • Experience with data processing pipelines and large-scale data environments in a secure financial setting (experience)
  • Ability to obtain necessary security clearances for handling sensitive financial data (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline (experience)
  • Prior experience at a major financial institution like JP Morgan Chase, working on fraud detection or cybersecurity projects (experience)
  • Familiarity with JP Morgan's internal tools and platforms for AI deployment (experience)
  • Certifications in AWS, Azure, or Google Cloud for AI workloads (experience)

Responsibilities

  • Design and implement agentic AI systems using Python to proactively detect and mitigate financial risks for JP Morgan Chase and its customers
  • Develop scalable software solutions that integrate AI agents for real-time threat monitoring in banking operations
  • Collaborate with cross-functional teams including data scientists, risk analysts, and compliance experts to enhance risk safeguards
  • Build and optimize data pipelines for processing large volumes of transaction data in a secure environment
  • Conduct code reviews, testing, and deployment of AI models to ensure reliability and compliance with financial regulations
  • Monitor and improve AI agent performance, iterating based on emerging threats in the financial services landscape
  • Contribute to innovation in AI-driven cybersecurity, leveraging JP Morgan's technology stack to protect against fraud and cyber risks
  • Document technical solutions and mentor junior engineers on best practices in agentic AI development
  • Stay abreast of industry trends in AI and financial risk management to recommend proactive enhancements

Benefits

  • 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 programs and tuition reimbursement for advanced education
  • general: Employee stock purchase plan and performance-based bonuses
  • general: Wellness programs including gym memberships and mental health support
  • general: Flexible work arrangements and hybrid work options in Wilmington, DE
  • general: Access to JP Morgan's global mobility programs for career advancement

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JP Morgan Chase logo

Software Engineer III - Python/Agentic AI

JP Morgan Chase

Software and Technology Jobs

Software Engineer III - Python/Agentic AI

full-timePosted: Oct 3, 2025

Job Description

Software Engineer III - Python/Agentic AI

Location: Wilmington, DE, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of leveraging cutting-edge technology to protect our global financial ecosystem. As a Software Engineer III - Python/Agentic AI in our Wilmington, DE office, you will play a pivotal role in harnessing agentic AI to proactively safeguard the firm and our customers. This position involves developing advanced AI systems that autonomously detect and mitigate risks, such as fraud, cyber threats, and compliance issues, within the dynamic landscape of financial services. You will contribute to innovative solutions that enhance security and operational resilience, ensuring JP Morgan Chase remains a leader in responsible banking. Your key responsibilities will include designing and implementing Python-based agentic AI models that integrate seamlessly with our vast data infrastructure. Working closely with risk management, cybersecurity, and engineering teams, you will build scalable applications that process real-time transaction data to identify anomalies and automate responses. This role demands a deep understanding of financial regulations and the ability to apply AI ethically to minimize risks while maximizing efficiency. You will also participate in code optimization, testing, and deployment, utilizing JP Morgan's robust technology stack to deliver high-impact results. We seek a collaborative innovator who thrives in a fast-paced environment and is passionate about using AI to drive positive change in finance. This position offers opportunities for professional growth within one of the world's largest financial institutions, where your work directly contributes to protecting millions of customers and upholding the integrity of global markets. Join us in Wilmington, DE, to advance your career while making a tangible difference in financial security.

Key Responsibilities

  • Design and implement agentic AI systems using Python to proactively detect and mitigate financial risks for JP Morgan Chase and its customers
  • Develop scalable software solutions that integrate AI agents for real-time threat monitoring in banking operations
  • Collaborate with cross-functional teams including data scientists, risk analysts, and compliance experts to enhance risk safeguards
  • Build and optimize data pipelines for processing large volumes of transaction data in a secure environment
  • Conduct code reviews, testing, and deployment of AI models to ensure reliability and compliance with financial regulations
  • Monitor and improve AI agent performance, iterating based on emerging threats in the financial services landscape
  • Contribute to innovation in AI-driven cybersecurity, leveraging JP Morgan's technology stack to protect against fraud and cyber risks
  • Document technical solutions and mentor junior engineers on best practices in agentic AI development
  • Stay abreast of industry trends in AI and financial risk management to recommend proactive enhancements

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • Minimum of 5 years of professional software engineering experience, with a focus on Python development
  • Proven experience in developing AI/ML models, particularly in agentic AI systems for risk detection and mitigation
  • Strong understanding of financial services regulations and risk management practices in banking
  • Experience with data processing pipelines and large-scale data environments in a secure financial setting
  • Ability to obtain necessary security clearances for handling sensitive financial data

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline
  • Prior experience at a major financial institution like JP Morgan Chase, working on fraud detection or cybersecurity projects
  • Familiarity with JP Morgan's internal tools and platforms for AI deployment
  • Certifications in AWS, Azure, or Google Cloud for AI workloads

Required Skills

  • Proficiency in Python programming for AI and machine learning applications
  • Expertise in agentic AI frameworks such as LangChain or AutoGen
  • Knowledge of machine learning libraries like TensorFlow, PyTorch, or scikit-learn
  • Experience with cloud platforms (AWS, Azure) for deploying AI models
  • Strong data handling skills using SQL, Pandas, and big data tools like Spark
  • Understanding of cybersecurity principles and financial risk modeling
  • Familiarity with DevOps practices including CI/CD pipelines and containerization (Docker, Kubernetes)
  • Analytical problem-solving and attention to detail in high-stakes environments
  • Effective communication and collaboration in team settings
  • Adaptability to fast-paced financial industry demands
  • Knowledge of regulatory compliance (e.g., GDPR, SOX) in AI implementations
  • Experience with version control systems like Git
  • Basic understanding of natural language processing (NLP) for AI agents
  • Project management skills for end-to-end software delivery

Benefits

  • 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 programs and tuition reimbursement for advanced education
  • Employee stock purchase plan and performance-based bonuses
  • Wellness programs including gym memberships and mental health support
  • Flexible work arrangements and hybrid work options in Wilmington, DE
  • Access to JP Morgan's global mobility programs for career advancement

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

180,000 - 250,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Proficiency in Python programming for AI and machine learning applicationsintermediate
  • Expertise in agentic AI frameworks such as LangChain or AutoGenintermediate
  • Knowledge of machine learning libraries like TensorFlow, PyTorch, or scikit-learnintermediate
  • Experience with cloud platforms (AWS, Azure) for deploying AI modelsintermediate
  • Strong data handling skills using SQL, Pandas, and big data tools like Sparkintermediate
  • Understanding of cybersecurity principles and financial risk modelingintermediate
  • Familiarity with DevOps practices including CI/CD pipelines and containerization (Docker, Kubernetes)intermediate
  • Analytical problem-solving and attention to detail in high-stakes environmentsintermediate
  • Effective communication and collaboration in team settingsintermediate
  • Adaptability to fast-paced financial industry demandsintermediate
  • Knowledge of regulatory compliance (e.g., GDPR, SOX) in AI implementationsintermediate
  • Experience with version control systems like Gitintermediate
  • Basic understanding of natural language processing (NLP) for AI agentsintermediate
  • Project management skills for end-to-end software deliveryintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • Minimum of 5 years of professional software engineering experience, with a focus on Python development (experience)
  • Proven experience in developing AI/ML models, particularly in agentic AI systems for risk detection and mitigation (experience)
  • Strong understanding of financial services regulations and risk management practices in banking (experience)
  • Experience with data processing pipelines and large-scale data environments in a secure financial setting (experience)
  • Ability to obtain necessary security clearances for handling sensitive financial data (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline (experience)
  • Prior experience at a major financial institution like JP Morgan Chase, working on fraud detection or cybersecurity projects (experience)
  • Familiarity with JP Morgan's internal tools and platforms for AI deployment (experience)
  • Certifications in AWS, Azure, or Google Cloud for AI workloads (experience)

Responsibilities

  • Design and implement agentic AI systems using Python to proactively detect and mitigate financial risks for JP Morgan Chase and its customers
  • Develop scalable software solutions that integrate AI agents for real-time threat monitoring in banking operations
  • Collaborate with cross-functional teams including data scientists, risk analysts, and compliance experts to enhance risk safeguards
  • Build and optimize data pipelines for processing large volumes of transaction data in a secure environment
  • Conduct code reviews, testing, and deployment of AI models to ensure reliability and compliance with financial regulations
  • Monitor and improve AI agent performance, iterating based on emerging threats in the financial services landscape
  • Contribute to innovation in AI-driven cybersecurity, leveraging JP Morgan's technology stack to protect against fraud and cyber risks
  • Document technical solutions and mentor junior engineers on best practices in agentic AI development
  • Stay abreast of industry trends in AI and financial risk management to recommend proactive enhancements

Benefits

  • 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 programs and tuition reimbursement for advanced education
  • general: Employee stock purchase plan and performance-based bonuses
  • general: Wellness programs including gym memberships and mental health support
  • general: Flexible work arrangements and hybrid work options in Wilmington, DE
  • general: Access to JP Morgan's global mobility programs for career advancement

Target Your Resume for "Software Engineer III - Python/Agentic AI" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Software Engineer III - Python/Agentic AI. Takes only 15 seconds!

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

Check Your ATS Score for "Software Engineer III - Python/Agentic AI" , 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

Software EngineeringFinancial ServicesBankingJP MorganSoftware Engineering

Answer 10 quick questions to check your fit for Software Engineer III - Python/Agentic AI @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.