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Lead Software Engineer-Agentic AI/Python

JP Morgan Chase

Software and Technology Jobs

Lead Software Engineer-Agentic AI/Python

full-timePosted: Oct 3, 2025

Job Description

Lead Software Engineer-Agentic AI/Python

Location: Wilmington, DE, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of transforming the financial services industry through cutting-edge technology. As a Lead Software Engineer specializing in Agentic AI and Python, you will play a pivotal role in building innovative AI solutions that empower our teams to deliver exceptional client experiences. Based in our Wilmington, DE office, you will join an agile team focused on developing autonomous AI agents that streamline complex processes like portfolio optimization, compliance monitoring, and personalized financial advisory services. Your work will directly impact how we serve millions of clients globally, leveraging JP Morgan Chase's vast data resources to create intelligent, scalable systems that drive business growth and operational excellence. In this leadership position, you will architect and implement agentic AI frameworks using Python, integrating them seamlessly with our proprietary financial platforms. You will collaborate with data scientists, product owners, and compliance experts to ensure solutions are not only technically robust but also aligned with regulatory standards such as SEC guidelines and data privacy laws. Responsibilities include prototyping AI agents for real-time decision-making in trading and risk management, conducting thorough testing to mitigate biases, and deploying models that enhance efficiency across our investment banking and consumer banking divisions. Your expertise will help JP Morgan Chase maintain its position as a technology leader in finance, where AI innovation meets rigorous security and ethical considerations. We value engineers who thrive in dynamic environments and are passionate about the intersection of AI and finance. This role offers the opportunity to lead high-impact projects, mentor emerging talent, and contribute to JP Morgan Chase's commitment to responsible AI adoption. Join us in Wilmington, DE, to shape the future of financial services through agentic technologies that make banking smarter, safer, and more accessible.

Key Responsibilities

  • Lead the development of agentic AI solutions that automate complex workflows in financial services, such as risk assessment and fraud detection
  • Collaborate with agile teams to design, build, and deploy AI agents using Python and advanced frameworks
  • Integrate AI models with JP Morgan Chase's core banking systems to enhance operational efficiency
  • Mentor junior engineers and conduct code reviews to ensure high-quality, secure implementations
  • Conduct research and experimentation on emerging agentic AI technologies to drive innovation
  • Ensure AI solutions comply with regulatory requirements and internal governance standards at JP Morgan Chase
  • Optimize AI performance for scalability and reliability in high-volume financial transactions
  • Partner with product managers and stakeholders to translate business needs into technical AI architectures
  • Monitor and troubleshoot AI systems in production to maintain uptime and performance
  • Contribute to the evolution of AI best practices within JP Morgan Chase's technology ecosystem

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 7+ years of software engineering experience with a focus on AI and machine learning applications
  • Proficiency in Python programming, including experience with AI frameworks like LangChain or similar agentic AI tools
  • Strong understanding of agile methodologies and experience working in cross-functional teams
  • Demonstrated ability to design and implement scalable AI solutions in a financial services context
  • Experience with data privacy and security regulations such as GDPR and financial compliance standards
  • Proven track record of leading technical projects from inception to deployment

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline
  • Experience in financial services, particularly in banking or investment management
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for AI deployments
  • Contributions to open-source AI projects or publications in agentic AI research
  • Certification in AI ethics or responsible AI practices

Required Skills

  • Expertise in Python for AI development
  • Knowledge of agentic AI concepts and frameworks (e.g., LangChain, AutoGPT)
  • Machine learning algorithms and model training
  • Agile and Scrum methodologies
  • Cloud computing and deployment (AWS, Azure)
  • Data structures and algorithms
  • API design and integration
  • Version control systems (Git)
  • Problem-solving and critical thinking
  • Leadership and team collaboration
  • Financial domain knowledge (e.g., risk modeling, compliance)
  • Secure coding practices
  • Performance optimization for AI systems
  • Communication skills for stakeholder engagement
  • Ethical AI development and bias mitigation

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 through JP Morgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers and wellness programs at select locations
  • Flexible work arrangements including hybrid options in Wilmington, DE

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

220,000 - 350,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Expertise in Python for AI developmentintermediate
  • Knowledge of agentic AI concepts and frameworks (e.g., LangChain, AutoGPT)intermediate
  • Machine learning algorithms and model trainingintermediate
  • Agile and Scrum methodologiesintermediate
  • Cloud computing and deployment (AWS, Azure)intermediate
  • Data structures and algorithmsintermediate
  • API design and integrationintermediate
  • Version control systems (Git)intermediate
  • Problem-solving and critical thinkingintermediate
  • Leadership and team collaborationintermediate
  • Financial domain knowledge (e.g., risk modeling, compliance)intermediate
  • Secure coding practicesintermediate
  • Performance optimization for AI systemsintermediate
  • Communication skills for stakeholder engagementintermediate
  • Ethical AI development and bias mitigationintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 7+ years of software engineering experience with a focus on AI and machine learning applications (experience)
  • Proficiency in Python programming, including experience with AI frameworks like LangChain or similar agentic AI tools (experience)
  • Strong understanding of agile methodologies and experience working in cross-functional teams (experience)
  • Demonstrated ability to design and implement scalable AI solutions in a financial services context (experience)
  • Experience with data privacy and security regulations such as GDPR and financial compliance standards (experience)
  • Proven track record of leading technical projects from inception to deployment (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline (experience)
  • Experience in financial services, particularly in banking or investment management (experience)
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for AI deployments (experience)
  • Contributions to open-source AI projects or publications in agentic AI research (experience)
  • Certification in AI ethics or responsible AI practices (experience)

Responsibilities

  • Lead the development of agentic AI solutions that automate complex workflows in financial services, such as risk assessment and fraud detection
  • Collaborate with agile teams to design, build, and deploy AI agents using Python and advanced frameworks
  • Integrate AI models with JP Morgan Chase's core banking systems to enhance operational efficiency
  • Mentor junior engineers and conduct code reviews to ensure high-quality, secure implementations
  • Conduct research and experimentation on emerging agentic AI technologies to drive innovation
  • Ensure AI solutions comply with regulatory requirements and internal governance standards at JP Morgan Chase
  • Optimize AI performance for scalability and reliability in high-volume financial transactions
  • Partner with product managers and stakeholders to translate business needs into technical AI architectures
  • Monitor and troubleshoot AI systems in production to maintain uptime and performance
  • Contribute to the evolution of AI best practices within JP Morgan Chase's technology ecosystem

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 through JP Morgan's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers and wellness programs at select locations
  • general: Flexible work arrangements including hybrid options in Wilmington, DE

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JP Morgan Chase logo

Lead Software Engineer-Agentic AI/Python

JP Morgan Chase

Software and Technology Jobs

Lead Software Engineer-Agentic AI/Python

full-timePosted: Oct 3, 2025

Job Description

Lead Software Engineer-Agentic AI/Python

Location: Wilmington, DE, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of transforming the financial services industry through cutting-edge technology. As a Lead Software Engineer specializing in Agentic AI and Python, you will play a pivotal role in building innovative AI solutions that empower our teams to deliver exceptional client experiences. Based in our Wilmington, DE office, you will join an agile team focused on developing autonomous AI agents that streamline complex processes like portfolio optimization, compliance monitoring, and personalized financial advisory services. Your work will directly impact how we serve millions of clients globally, leveraging JP Morgan Chase's vast data resources to create intelligent, scalable systems that drive business growth and operational excellence. In this leadership position, you will architect and implement agentic AI frameworks using Python, integrating them seamlessly with our proprietary financial platforms. You will collaborate with data scientists, product owners, and compliance experts to ensure solutions are not only technically robust but also aligned with regulatory standards such as SEC guidelines and data privacy laws. Responsibilities include prototyping AI agents for real-time decision-making in trading and risk management, conducting thorough testing to mitigate biases, and deploying models that enhance efficiency across our investment banking and consumer banking divisions. Your expertise will help JP Morgan Chase maintain its position as a technology leader in finance, where AI innovation meets rigorous security and ethical considerations. We value engineers who thrive in dynamic environments and are passionate about the intersection of AI and finance. This role offers the opportunity to lead high-impact projects, mentor emerging talent, and contribute to JP Morgan Chase's commitment to responsible AI adoption. Join us in Wilmington, DE, to shape the future of financial services through agentic technologies that make banking smarter, safer, and more accessible.

Key Responsibilities

  • Lead the development of agentic AI solutions that automate complex workflows in financial services, such as risk assessment and fraud detection
  • Collaborate with agile teams to design, build, and deploy AI agents using Python and advanced frameworks
  • Integrate AI models with JP Morgan Chase's core banking systems to enhance operational efficiency
  • Mentor junior engineers and conduct code reviews to ensure high-quality, secure implementations
  • Conduct research and experimentation on emerging agentic AI technologies to drive innovation
  • Ensure AI solutions comply with regulatory requirements and internal governance standards at JP Morgan Chase
  • Optimize AI performance for scalability and reliability in high-volume financial transactions
  • Partner with product managers and stakeholders to translate business needs into technical AI architectures
  • Monitor and troubleshoot AI systems in production to maintain uptime and performance
  • Contribute to the evolution of AI best practices within JP Morgan Chase's technology ecosystem

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 7+ years of software engineering experience with a focus on AI and machine learning applications
  • Proficiency in Python programming, including experience with AI frameworks like LangChain or similar agentic AI tools
  • Strong understanding of agile methodologies and experience working in cross-functional teams
  • Demonstrated ability to design and implement scalable AI solutions in a financial services context
  • Experience with data privacy and security regulations such as GDPR and financial compliance standards
  • Proven track record of leading technical projects from inception to deployment

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline
  • Experience in financial services, particularly in banking or investment management
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for AI deployments
  • Contributions to open-source AI projects or publications in agentic AI research
  • Certification in AI ethics or responsible AI practices

Required Skills

  • Expertise in Python for AI development
  • Knowledge of agentic AI concepts and frameworks (e.g., LangChain, AutoGPT)
  • Machine learning algorithms and model training
  • Agile and Scrum methodologies
  • Cloud computing and deployment (AWS, Azure)
  • Data structures and algorithms
  • API design and integration
  • Version control systems (Git)
  • Problem-solving and critical thinking
  • Leadership and team collaboration
  • Financial domain knowledge (e.g., risk modeling, compliance)
  • Secure coding practices
  • Performance optimization for AI systems
  • Communication skills for stakeholder engagement
  • Ethical AI development and bias mitigation

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 through JP Morgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers and wellness programs at select locations
  • Flexible work arrangements including hybrid options in Wilmington, DE

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

220,000 - 350,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Expertise in Python for AI developmentintermediate
  • Knowledge of agentic AI concepts and frameworks (e.g., LangChain, AutoGPT)intermediate
  • Machine learning algorithms and model trainingintermediate
  • Agile and Scrum methodologiesintermediate
  • Cloud computing and deployment (AWS, Azure)intermediate
  • Data structures and algorithmsintermediate
  • API design and integrationintermediate
  • Version control systems (Git)intermediate
  • Problem-solving and critical thinkingintermediate
  • Leadership and team collaborationintermediate
  • Financial domain knowledge (e.g., risk modeling, compliance)intermediate
  • Secure coding practicesintermediate
  • Performance optimization for AI systemsintermediate
  • Communication skills for stakeholder engagementintermediate
  • Ethical AI development and bias mitigationintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 7+ years of software engineering experience with a focus on AI and machine learning applications (experience)
  • Proficiency in Python programming, including experience with AI frameworks like LangChain or similar agentic AI tools (experience)
  • Strong understanding of agile methodologies and experience working in cross-functional teams (experience)
  • Demonstrated ability to design and implement scalable AI solutions in a financial services context (experience)
  • Experience with data privacy and security regulations such as GDPR and financial compliance standards (experience)
  • Proven track record of leading technical projects from inception to deployment (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline (experience)
  • Experience in financial services, particularly in banking or investment management (experience)
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for AI deployments (experience)
  • Contributions to open-source AI projects or publications in agentic AI research (experience)
  • Certification in AI ethics or responsible AI practices (experience)

Responsibilities

  • Lead the development of agentic AI solutions that automate complex workflows in financial services, such as risk assessment and fraud detection
  • Collaborate with agile teams to design, build, and deploy AI agents using Python and advanced frameworks
  • Integrate AI models with JP Morgan Chase's core banking systems to enhance operational efficiency
  • Mentor junior engineers and conduct code reviews to ensure high-quality, secure implementations
  • Conduct research and experimentation on emerging agentic AI technologies to drive innovation
  • Ensure AI solutions comply with regulatory requirements and internal governance standards at JP Morgan Chase
  • Optimize AI performance for scalability and reliability in high-volume financial transactions
  • Partner with product managers and stakeholders to translate business needs into technical AI architectures
  • Monitor and troubleshoot AI systems in production to maintain uptime and performance
  • Contribute to the evolution of AI best practices within JP Morgan Chase's technology ecosystem

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 through JP Morgan's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers and wellness programs at select locations
  • general: Flexible work arrangements including hybrid options in Wilmington, DE

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

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

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

Check Your ATS Score for "Lead Software Engineer-Agentic AI/Python" , 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 Lead Software Engineer-Agentic AI/Python @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.