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AWS Lead Software Engineer-Full Stack/Artificial Intelligence/Machine Learning

JP Morgan Chase

Software and Technology Jobs

AWS Lead Software Engineer-Full Stack/Artificial Intelligence/Machine Learning

full-timePosted: Dec 5, 2025

Job Description

AWS Lead Software Engineer-Full Stack/Artificial Intelligence/Machine Learning

Location: Wilmington, DE, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge technology to deliver exceptional services to our clients. As an AWS Lead Software Engineer - Full Stack/Artificial Intelligence/Machine Learning, you will play a pivotal role in our Wealth Management division, focusing on the development of robust systems to manage and administer client trust accounts. Based in Wilmington, DE, this position requires a blend of technical expertise and leadership to ensure our solutions are precise, reliable, and compliant with stringent financial regulations. You will lead initiatives that harness AI and ML to automate complex fiduciary processes, enhancing efficiency while safeguarding client assets in a secure AWS cloud environment. Your responsibilities will span the full software development lifecycle, from architecting scalable full-stack applications to integrating advanced ML models for predictive analytics in trust management. Collaborating with multidisciplinary teams, you will drive the adoption of AWS-native tools to build resilient infrastructure that supports high-volume financial transactions. At JP Morgan Chase, we prioritize innovation within a framework of risk management, so you will ensure all solutions adhere to industry standards like SEC guidelines and data protection laws, mitigating potential vulnerabilities in real-time processing of sensitive information. This role offers the opportunity to lead a talented team of engineers, fostering a culture of continuous learning and technical excellence. You will contribute to strategic projects that redefine how JP Morgan Chase serves high-net-worth clients, utilizing AI to provide personalized insights and streamlined account administration. Join us in Wilmington, DE, where you can advance your career in a dynamic environment that values diversity, inclusion, and impactful technology solutions for the global financial services industry.

Key Responsibilities

  • Lead the design, development, and deployment of full-stack applications on AWS to manage client trust accounts with high precision and reliability
  • Integrate AI and ML models to automate trust administration processes, enhancing accuracy and reducing operational risks
  • Collaborate with cross-functional teams including compliance, risk management, and business stakeholders to deliver compliant solutions
  • Mentor and guide a team of software engineers, fostering innovation in financial technology
  • Optimize cloud infrastructure for scalability, security, and cost-efficiency in handling sensitive financial data
  • Conduct code reviews, implement best practices for CI/CD pipelines, and ensure adherence to JP Morgan's engineering standards
  • Analyze and resolve complex technical issues in production environments, minimizing downtime for critical trust services
  • Stay abreast of emerging AI/ML technologies and financial regulations to drive continuous improvement
  • Develop APIs and microservices to integrate trust management systems with broader JP Morgan platforms
  • Contribute to strategic planning for AI-driven enhancements in wealth management and fiduciary services

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 7+ years of experience in full-stack software engineering with a focus on AWS cloud platforms
  • Proven expertise in Artificial Intelligence and Machine Learning frameworks, including TensorFlow or PyTorch
  • Strong experience in developing and deploying scalable applications in a financial services environment
  • Demonstrated ability to lead engineering teams and mentor junior developers
  • Proficiency in agile methodologies and DevOps practices for secure, compliant software delivery
  • Experience with data privacy regulations such as GDPR and SEC requirements in financial tech

Preferred Qualifications

  • Advanced certifications in AWS (e.g., AWS Solutions Architect Professional)
  • Prior experience in trust account management systems or financial services software
  • Knowledge of blockchain or distributed ledger technologies for secure transactions
  • Experience with big data tools like Apache Spark for ML model training
  • Familiarity with JP Morgan's internal tech stack and compliance frameworks

Required Skills

  • AWS services (EC2, Lambda, S3, RDS, SageMaker)
  • Full-stack development (Java, Python, React, Node.js)
  • AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Containerization and orchestration (Docker, Kubernetes)
  • Database management (SQL, NoSQL, PostgreSQL)
  • API development and integration (RESTful, GraphQL)
  • DevOps tools (Jenkins, Git, Terraform)
  • Data security and encryption protocols
  • Agile/Scrum methodologies
  • Problem-solving and analytical thinking
  • Leadership and team collaboration
  • Financial domain knowledge (trust accounts, compliance)
  • Version control (GitHub, GitLab)
  • Performance optimization and debugging
  • Communication and stakeholder management

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 with tuition reimbursement and access to internal training programs
  • Wellness programs including gym memberships and mental health support
  • Employee stock purchase plan and financial planning services
  • Flexible work arrangements and hybrid office 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

  • AWS services (EC2, Lambda, S3, RDS, SageMaker)intermediate
  • Full-stack development (Java, Python, React, Node.js)intermediate
  • AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)intermediate
  • Containerization and orchestration (Docker, Kubernetes)intermediate
  • Database management (SQL, NoSQL, PostgreSQL)intermediate
  • API development and integration (RESTful, GraphQL)intermediate
  • DevOps tools (Jenkins, Git, Terraform)intermediate
  • Data security and encryption protocolsintermediate
  • Agile/Scrum methodologiesintermediate
  • Problem-solving and analytical thinkingintermediate
  • Leadership and team collaborationintermediate
  • Financial domain knowledge (trust accounts, compliance)intermediate
  • Version control (GitHub, GitLab)intermediate
  • Performance optimization and debuggingintermediate
  • Communication and stakeholder managementintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 7+ years of experience in full-stack software engineering with a focus on AWS cloud platforms (experience)
  • Proven expertise in Artificial Intelligence and Machine Learning frameworks, including TensorFlow or PyTorch (experience)
  • Strong experience in developing and deploying scalable applications in a financial services environment (experience)
  • Demonstrated ability to lead engineering teams and mentor junior developers (experience)
  • Proficiency in agile methodologies and DevOps practices for secure, compliant software delivery (experience)
  • Experience with data privacy regulations such as GDPR and SEC requirements in financial tech (experience)

Preferred Qualifications

  • Advanced certifications in AWS (e.g., AWS Solutions Architect Professional) (experience)
  • Prior experience in trust account management systems or financial services software (experience)
  • Knowledge of blockchain or distributed ledger technologies for secure transactions (experience)
  • Experience with big data tools like Apache Spark for ML model training (experience)
  • Familiarity with JP Morgan's internal tech stack and compliance frameworks (experience)

Responsibilities

  • Lead the design, development, and deployment of full-stack applications on AWS to manage client trust accounts with high precision and reliability
  • Integrate AI and ML models to automate trust administration processes, enhancing accuracy and reducing operational risks
  • Collaborate with cross-functional teams including compliance, risk management, and business stakeholders to deliver compliant solutions
  • Mentor and guide a team of software engineers, fostering innovation in financial technology
  • Optimize cloud infrastructure for scalability, security, and cost-efficiency in handling sensitive financial data
  • Conduct code reviews, implement best practices for CI/CD pipelines, and ensure adherence to JP Morgan's engineering standards
  • Analyze and resolve complex technical issues in production environments, minimizing downtime for critical trust services
  • Stay abreast of emerging AI/ML technologies and financial regulations to drive continuous improvement
  • Develop APIs and microservices to integrate trust management systems with broader JP Morgan platforms
  • Contribute to strategic planning for AI-driven enhancements in wealth management and fiduciary services

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 with tuition reimbursement and access to internal training programs
  • general: Wellness programs including gym memberships and mental health support
  • general: Employee stock purchase plan and financial planning services
  • general: Flexible work arrangements and hybrid office options in Wilmington, DE

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JP Morgan Chase logo

AWS Lead Software Engineer-Full Stack/Artificial Intelligence/Machine Learning

JP Morgan Chase

Software and Technology Jobs

AWS Lead Software Engineer-Full Stack/Artificial Intelligence/Machine Learning

full-timePosted: Dec 5, 2025

Job Description

AWS Lead Software Engineer-Full Stack/Artificial Intelligence/Machine Learning

Location: Wilmington, DE, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge technology to deliver exceptional services to our clients. As an AWS Lead Software Engineer - Full Stack/Artificial Intelligence/Machine Learning, you will play a pivotal role in our Wealth Management division, focusing on the development of robust systems to manage and administer client trust accounts. Based in Wilmington, DE, this position requires a blend of technical expertise and leadership to ensure our solutions are precise, reliable, and compliant with stringent financial regulations. You will lead initiatives that harness AI and ML to automate complex fiduciary processes, enhancing efficiency while safeguarding client assets in a secure AWS cloud environment. Your responsibilities will span the full software development lifecycle, from architecting scalable full-stack applications to integrating advanced ML models for predictive analytics in trust management. Collaborating with multidisciplinary teams, you will drive the adoption of AWS-native tools to build resilient infrastructure that supports high-volume financial transactions. At JP Morgan Chase, we prioritize innovation within a framework of risk management, so you will ensure all solutions adhere to industry standards like SEC guidelines and data protection laws, mitigating potential vulnerabilities in real-time processing of sensitive information. This role offers the opportunity to lead a talented team of engineers, fostering a culture of continuous learning and technical excellence. You will contribute to strategic projects that redefine how JP Morgan Chase serves high-net-worth clients, utilizing AI to provide personalized insights and streamlined account administration. Join us in Wilmington, DE, where you can advance your career in a dynamic environment that values diversity, inclusion, and impactful technology solutions for the global financial services industry.

Key Responsibilities

  • Lead the design, development, and deployment of full-stack applications on AWS to manage client trust accounts with high precision and reliability
  • Integrate AI and ML models to automate trust administration processes, enhancing accuracy and reducing operational risks
  • Collaborate with cross-functional teams including compliance, risk management, and business stakeholders to deliver compliant solutions
  • Mentor and guide a team of software engineers, fostering innovation in financial technology
  • Optimize cloud infrastructure for scalability, security, and cost-efficiency in handling sensitive financial data
  • Conduct code reviews, implement best practices for CI/CD pipelines, and ensure adherence to JP Morgan's engineering standards
  • Analyze and resolve complex technical issues in production environments, minimizing downtime for critical trust services
  • Stay abreast of emerging AI/ML technologies and financial regulations to drive continuous improvement
  • Develop APIs and microservices to integrate trust management systems with broader JP Morgan platforms
  • Contribute to strategic planning for AI-driven enhancements in wealth management and fiduciary services

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 7+ years of experience in full-stack software engineering with a focus on AWS cloud platforms
  • Proven expertise in Artificial Intelligence and Machine Learning frameworks, including TensorFlow or PyTorch
  • Strong experience in developing and deploying scalable applications in a financial services environment
  • Demonstrated ability to lead engineering teams and mentor junior developers
  • Proficiency in agile methodologies and DevOps practices for secure, compliant software delivery
  • Experience with data privacy regulations such as GDPR and SEC requirements in financial tech

Preferred Qualifications

  • Advanced certifications in AWS (e.g., AWS Solutions Architect Professional)
  • Prior experience in trust account management systems or financial services software
  • Knowledge of blockchain or distributed ledger technologies for secure transactions
  • Experience with big data tools like Apache Spark for ML model training
  • Familiarity with JP Morgan's internal tech stack and compliance frameworks

Required Skills

  • AWS services (EC2, Lambda, S3, RDS, SageMaker)
  • Full-stack development (Java, Python, React, Node.js)
  • AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Containerization and orchestration (Docker, Kubernetes)
  • Database management (SQL, NoSQL, PostgreSQL)
  • API development and integration (RESTful, GraphQL)
  • DevOps tools (Jenkins, Git, Terraform)
  • Data security and encryption protocols
  • Agile/Scrum methodologies
  • Problem-solving and analytical thinking
  • Leadership and team collaboration
  • Financial domain knowledge (trust accounts, compliance)
  • Version control (GitHub, GitLab)
  • Performance optimization and debugging
  • Communication and stakeholder management

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 with tuition reimbursement and access to internal training programs
  • Wellness programs including gym memberships and mental health support
  • Employee stock purchase plan and financial planning services
  • Flexible work arrangements and hybrid office 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

  • AWS services (EC2, Lambda, S3, RDS, SageMaker)intermediate
  • Full-stack development (Java, Python, React, Node.js)intermediate
  • AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)intermediate
  • Containerization and orchestration (Docker, Kubernetes)intermediate
  • Database management (SQL, NoSQL, PostgreSQL)intermediate
  • API development and integration (RESTful, GraphQL)intermediate
  • DevOps tools (Jenkins, Git, Terraform)intermediate
  • Data security and encryption protocolsintermediate
  • Agile/Scrum methodologiesintermediate
  • Problem-solving and analytical thinkingintermediate
  • Leadership and team collaborationintermediate
  • Financial domain knowledge (trust accounts, compliance)intermediate
  • Version control (GitHub, GitLab)intermediate
  • Performance optimization and debuggingintermediate
  • Communication and stakeholder managementintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 7+ years of experience in full-stack software engineering with a focus on AWS cloud platforms (experience)
  • Proven expertise in Artificial Intelligence and Machine Learning frameworks, including TensorFlow or PyTorch (experience)
  • Strong experience in developing and deploying scalable applications in a financial services environment (experience)
  • Demonstrated ability to lead engineering teams and mentor junior developers (experience)
  • Proficiency in agile methodologies and DevOps practices for secure, compliant software delivery (experience)
  • Experience with data privacy regulations such as GDPR and SEC requirements in financial tech (experience)

Preferred Qualifications

  • Advanced certifications in AWS (e.g., AWS Solutions Architect Professional) (experience)
  • Prior experience in trust account management systems or financial services software (experience)
  • Knowledge of blockchain or distributed ledger technologies for secure transactions (experience)
  • Experience with big data tools like Apache Spark for ML model training (experience)
  • Familiarity with JP Morgan's internal tech stack and compliance frameworks (experience)

Responsibilities

  • Lead the design, development, and deployment of full-stack applications on AWS to manage client trust accounts with high precision and reliability
  • Integrate AI and ML models to automate trust administration processes, enhancing accuracy and reducing operational risks
  • Collaborate with cross-functional teams including compliance, risk management, and business stakeholders to deliver compliant solutions
  • Mentor and guide a team of software engineers, fostering innovation in financial technology
  • Optimize cloud infrastructure for scalability, security, and cost-efficiency in handling sensitive financial data
  • Conduct code reviews, implement best practices for CI/CD pipelines, and ensure adherence to JP Morgan's engineering standards
  • Analyze and resolve complex technical issues in production environments, minimizing downtime for critical trust services
  • Stay abreast of emerging AI/ML technologies and financial regulations to drive continuous improvement
  • Develop APIs and microservices to integrate trust management systems with broader JP Morgan platforms
  • Contribute to strategic planning for AI-driven enhancements in wealth management and fiduciary services

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 with tuition reimbursement and access to internal training programs
  • general: Wellness programs including gym memberships and mental health support
  • general: Employee stock purchase plan and financial planning services
  • general: Flexible work arrangements and hybrid office options in Wilmington, DE

Target Your Resume for "AWS Lead Software Engineer-Full Stack/Artificial Intelligence/Machine Learning" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for AWS Lead Software Engineer-Full Stack/Artificial Intelligence/Machine Learning. Takes only 15 seconds!

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

Check Your ATS Score for "AWS Lead Software Engineer-Full Stack/Artificial Intelligence/Machine Learning" , 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 AWS Lead Software Engineer-Full Stack/Artificial Intelligence/Machine Learning @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.