Resume and JobRESUME AND JOB
JP Morgan Chase logo

Senior Lead Software Engineer - AWS/Agentic AI

JP Morgan Chase

Software and Technology Jobs

Senior Lead Software Engineer - AWS/Agentic AI

full-timePosted: Oct 21, 2025

Job Description

Senior Lead Software Engineer - AWS/Agentic AI

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 Senior Lead Software Engineer - AWS/Agentic AI in our Wilmington, DE office, you will play a pivotal role in driving significant business impact by tackling diverse challenges across multiple technologies and applications. Your expertise will be instrumental in building intelligent, autonomous AI agents that streamline operations, enhance risk management, and deliver personalized client experiences in our global banking ecosystem. This position offers the opportunity to lead innovative projects that directly influence JP Morgan's competitive edge in fintech, while collaborating with top-tier talent in a supportive, high-performance environment. In this role, you will architect and implement agentic AI solutions leveraging AWS cloud infrastructure to automate complex financial processes, such as predictive analytics for market trends and real-time fraud detection. You will guide a team of engineers in adopting best practices for scalable, secure deployments, ensuring compliance with stringent regulatory standards like those from the SEC and FINRA. By integrating AI with JP Morgan's vast data reservoirs, you will contribute to mission-critical applications that power everything from investment banking to consumer finance, fostering efficiency and innovation at scale. We value engineers who thrive in dynamic settings and are passionate about the intersection of AI and finance. Joining JP Morgan Chase means access to unparalleled resources, including advanced AWS tooling and partnerships with leading AI research entities. This senior leadership position not only challenges you technically but also empowers you to shape the future of banking, with opportunities for career growth and meaningful contributions to a firm that serves millions worldwide.

Key Responsibilities

  • Lead the design, development, and deployment of agentic AI solutions on AWS to automate complex financial workflows and enhance decision-making
  • Collaborate with cross-functional teams including data scientists, product managers, and compliance experts to integrate AI into core banking applications
  • Drive innovation in AI-driven tools for risk assessment, fraud detection, and customer personalization within JP Morgan Chase's ecosystem
  • Mentor junior engineers and foster a culture of technical excellence and knowledge sharing
  • Ensure all AI implementations adhere to financial regulations, data privacy standards, and JP Morgan's security protocols
  • Optimize AWS infrastructure for scalability, cost-efficiency, and high availability in handling large-scale financial data
  • Conduct code reviews, performance tuning, and troubleshooting to maintain robust, production-ready systems
  • Stay abreast of emerging AI technologies and evaluate their applicability to JP Morgan's strategic initiatives
  • Contribute to architectural decisions that span multiple technologies and applications, delivering significant business impact
  • Participate in agile ceremonies, sprint planning, and stakeholder presentations to align tech solutions with business goals

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 8+ years of professional software engineering experience, with at least 3 years focused on AWS cloud services
  • Proven experience in developing and deploying AI/ML models, particularly agentic AI systems
  • Strong understanding of financial services technologies, including secure data handling and regulatory compliance (e.g., GDPR, SOX)
  • Experience leading cross-functional teams in agile environments within large-scale enterprise settings
  • Proficiency in Python, Java, or similar languages for building scalable applications
  • Demonstrated ability to drive business impact through innovative technology solutions in a fast-paced industry

Preferred Qualifications

  • Experience with JP Morgan Chase's internal tools or similar banking tech stacks
  • Certifications in AWS (e.g., Solutions Architect Professional) and AI/ML (e.g., AWS Machine Learning Specialty)
  • Background in financial modeling or risk management systems using AI
  • Prior work on agentic AI frameworks like LangChain or AutoGPT in production environments
  • Knowledge of blockchain or fintech innovations relevant to JPMorgan's operations

Required Skills

  • Expertise in AWS services (EC2, Lambda, S3, SageMaker, Bedrock)
  • Proficiency in agentic AI development (e.g., autonomous agents, reinforcement learning)
  • Strong programming skills in Python, Java, and/or Scala
  • Experience with machine learning frameworks (TensorFlow, PyTorch, Hugging Face)
  • Knowledge of containerization and orchestration (Docker, Kubernetes)
  • Understanding of CI/CD pipelines and DevOps practices (Jenkins, GitHub Actions)
  • Financial domain knowledge in areas like trading systems, compliance, and data analytics
  • Skills in data engineering (SQL, ETL processes, big data tools like Spark)
  • Problem-solving and analytical thinking for complex technical challenges
  • Leadership and communication skills for team collaboration and stakeholder management
  • Familiarity with secure coding practices and API development (REST, GraphQL)
  • Experience with cloud cost optimization and monitoring tools (CloudWatch, Prometheus)
  • Adaptability to agile methodologies and rapid iteration cycles
  • Attention to detail in ensuring AI model accuracy 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, including tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources tailored to the banking industry
  • On-site fitness centers, wellness programs, and mental health support
  • 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

250,000 - 400,000 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 AWS services (EC2, Lambda, S3, SageMaker, Bedrock)intermediate
  • Proficiency in agentic AI development (e.g., autonomous agents, reinforcement learning)intermediate
  • Strong programming skills in Python, Java, and/or Scalaintermediate
  • Experience with machine learning frameworks (TensorFlow, PyTorch, Hugging Face)intermediate
  • Knowledge of containerization and orchestration (Docker, Kubernetes)intermediate
  • Understanding of CI/CD pipelines and DevOps practices (Jenkins, GitHub Actions)intermediate
  • Financial domain knowledge in areas like trading systems, compliance, and data analyticsintermediate
  • Skills in data engineering (SQL, ETL processes, big data tools like Spark)intermediate
  • Problem-solving and analytical thinking for complex technical challengesintermediate
  • Leadership and communication skills for team collaboration and stakeholder managementintermediate
  • Familiarity with secure coding practices and API development (REST, GraphQL)intermediate
  • Experience with cloud cost optimization and monitoring tools (CloudWatch, Prometheus)intermediate
  • Adaptability to agile methodologies and rapid iteration cyclesintermediate
  • Attention to detail in ensuring AI model accuracy and bias mitigationintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 8+ years of professional software engineering experience, with at least 3 years focused on AWS cloud services (experience)
  • Proven experience in developing and deploying AI/ML models, particularly agentic AI systems (experience)
  • Strong understanding of financial services technologies, including secure data handling and regulatory compliance (e.g., GDPR, SOX) (experience)
  • Experience leading cross-functional teams in agile environments within large-scale enterprise settings (experience)
  • Proficiency in Python, Java, or similar languages for building scalable applications (experience)
  • Demonstrated ability to drive business impact through innovative technology solutions in a fast-paced industry (experience)

Preferred Qualifications

  • Experience with JP Morgan Chase's internal tools or similar banking tech stacks (experience)
  • Certifications in AWS (e.g., Solutions Architect Professional) and AI/ML (e.g., AWS Machine Learning Specialty) (experience)
  • Background in financial modeling or risk management systems using AI (experience)
  • Prior work on agentic AI frameworks like LangChain or AutoGPT in production environments (experience)
  • Knowledge of blockchain or fintech innovations relevant to JPMorgan's operations (experience)

Responsibilities

  • Lead the design, development, and deployment of agentic AI solutions on AWS to automate complex financial workflows and enhance decision-making
  • Collaborate with cross-functional teams including data scientists, product managers, and compliance experts to integrate AI into core banking applications
  • Drive innovation in AI-driven tools for risk assessment, fraud detection, and customer personalization within JP Morgan Chase's ecosystem
  • Mentor junior engineers and foster a culture of technical excellence and knowledge sharing
  • Ensure all AI implementations adhere to financial regulations, data privacy standards, and JP Morgan's security protocols
  • Optimize AWS infrastructure for scalability, cost-efficiency, and high availability in handling large-scale financial data
  • Conduct code reviews, performance tuning, and troubleshooting to maintain robust, production-ready systems
  • Stay abreast of emerging AI technologies and evaluate their applicability to JP Morgan's strategic initiatives
  • Contribute to architectural decisions that span multiple technologies and applications, delivering significant business impact
  • Participate in agile ceremonies, sprint planning, and stakeholder presentations to align tech solutions with business goals

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 internal training programs
  • general: Employee stock purchase plan and financial wellness resources tailored to the banking industry
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements, including hybrid options in Wilmington, DE

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

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

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

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

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

JP Morgan Chase logo

Senior Lead Software Engineer - AWS/Agentic AI

JP Morgan Chase

Software and Technology Jobs

Senior Lead Software Engineer - AWS/Agentic AI

full-timePosted: Oct 21, 2025

Job Description

Senior Lead Software Engineer - AWS/Agentic AI

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 Senior Lead Software Engineer - AWS/Agentic AI in our Wilmington, DE office, you will play a pivotal role in driving significant business impact by tackling diverse challenges across multiple technologies and applications. Your expertise will be instrumental in building intelligent, autonomous AI agents that streamline operations, enhance risk management, and deliver personalized client experiences in our global banking ecosystem. This position offers the opportunity to lead innovative projects that directly influence JP Morgan's competitive edge in fintech, while collaborating with top-tier talent in a supportive, high-performance environment. In this role, you will architect and implement agentic AI solutions leveraging AWS cloud infrastructure to automate complex financial processes, such as predictive analytics for market trends and real-time fraud detection. You will guide a team of engineers in adopting best practices for scalable, secure deployments, ensuring compliance with stringent regulatory standards like those from the SEC and FINRA. By integrating AI with JP Morgan's vast data reservoirs, you will contribute to mission-critical applications that power everything from investment banking to consumer finance, fostering efficiency and innovation at scale. We value engineers who thrive in dynamic settings and are passionate about the intersection of AI and finance. Joining JP Morgan Chase means access to unparalleled resources, including advanced AWS tooling and partnerships with leading AI research entities. This senior leadership position not only challenges you technically but also empowers you to shape the future of banking, with opportunities for career growth and meaningful contributions to a firm that serves millions worldwide.

Key Responsibilities

  • Lead the design, development, and deployment of agentic AI solutions on AWS to automate complex financial workflows and enhance decision-making
  • Collaborate with cross-functional teams including data scientists, product managers, and compliance experts to integrate AI into core banking applications
  • Drive innovation in AI-driven tools for risk assessment, fraud detection, and customer personalization within JP Morgan Chase's ecosystem
  • Mentor junior engineers and foster a culture of technical excellence and knowledge sharing
  • Ensure all AI implementations adhere to financial regulations, data privacy standards, and JP Morgan's security protocols
  • Optimize AWS infrastructure for scalability, cost-efficiency, and high availability in handling large-scale financial data
  • Conduct code reviews, performance tuning, and troubleshooting to maintain robust, production-ready systems
  • Stay abreast of emerging AI technologies and evaluate their applicability to JP Morgan's strategic initiatives
  • Contribute to architectural decisions that span multiple technologies and applications, delivering significant business impact
  • Participate in agile ceremonies, sprint planning, and stakeholder presentations to align tech solutions with business goals

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 8+ years of professional software engineering experience, with at least 3 years focused on AWS cloud services
  • Proven experience in developing and deploying AI/ML models, particularly agentic AI systems
  • Strong understanding of financial services technologies, including secure data handling and regulatory compliance (e.g., GDPR, SOX)
  • Experience leading cross-functional teams in agile environments within large-scale enterprise settings
  • Proficiency in Python, Java, or similar languages for building scalable applications
  • Demonstrated ability to drive business impact through innovative technology solutions in a fast-paced industry

Preferred Qualifications

  • Experience with JP Morgan Chase's internal tools or similar banking tech stacks
  • Certifications in AWS (e.g., Solutions Architect Professional) and AI/ML (e.g., AWS Machine Learning Specialty)
  • Background in financial modeling or risk management systems using AI
  • Prior work on agentic AI frameworks like LangChain or AutoGPT in production environments
  • Knowledge of blockchain or fintech innovations relevant to JPMorgan's operations

Required Skills

  • Expertise in AWS services (EC2, Lambda, S3, SageMaker, Bedrock)
  • Proficiency in agentic AI development (e.g., autonomous agents, reinforcement learning)
  • Strong programming skills in Python, Java, and/or Scala
  • Experience with machine learning frameworks (TensorFlow, PyTorch, Hugging Face)
  • Knowledge of containerization and orchestration (Docker, Kubernetes)
  • Understanding of CI/CD pipelines and DevOps practices (Jenkins, GitHub Actions)
  • Financial domain knowledge in areas like trading systems, compliance, and data analytics
  • Skills in data engineering (SQL, ETL processes, big data tools like Spark)
  • Problem-solving and analytical thinking for complex technical challenges
  • Leadership and communication skills for team collaboration and stakeholder management
  • Familiarity with secure coding practices and API development (REST, GraphQL)
  • Experience with cloud cost optimization and monitoring tools (CloudWatch, Prometheus)
  • Adaptability to agile methodologies and rapid iteration cycles
  • Attention to detail in ensuring AI model accuracy 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, including tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources tailored to the banking industry
  • On-site fitness centers, wellness programs, and mental health support
  • 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

250,000 - 400,000 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 AWS services (EC2, Lambda, S3, SageMaker, Bedrock)intermediate
  • Proficiency in agentic AI development (e.g., autonomous agents, reinforcement learning)intermediate
  • Strong programming skills in Python, Java, and/or Scalaintermediate
  • Experience with machine learning frameworks (TensorFlow, PyTorch, Hugging Face)intermediate
  • Knowledge of containerization and orchestration (Docker, Kubernetes)intermediate
  • Understanding of CI/CD pipelines and DevOps practices (Jenkins, GitHub Actions)intermediate
  • Financial domain knowledge in areas like trading systems, compliance, and data analyticsintermediate
  • Skills in data engineering (SQL, ETL processes, big data tools like Spark)intermediate
  • Problem-solving and analytical thinking for complex technical challengesintermediate
  • Leadership and communication skills for team collaboration and stakeholder managementintermediate
  • Familiarity with secure coding practices and API development (REST, GraphQL)intermediate
  • Experience with cloud cost optimization and monitoring tools (CloudWatch, Prometheus)intermediate
  • Adaptability to agile methodologies and rapid iteration cyclesintermediate
  • Attention to detail in ensuring AI model accuracy and bias mitigationintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 8+ years of professional software engineering experience, with at least 3 years focused on AWS cloud services (experience)
  • Proven experience in developing and deploying AI/ML models, particularly agentic AI systems (experience)
  • Strong understanding of financial services technologies, including secure data handling and regulatory compliance (e.g., GDPR, SOX) (experience)
  • Experience leading cross-functional teams in agile environments within large-scale enterprise settings (experience)
  • Proficiency in Python, Java, or similar languages for building scalable applications (experience)
  • Demonstrated ability to drive business impact through innovative technology solutions in a fast-paced industry (experience)

Preferred Qualifications

  • Experience with JP Morgan Chase's internal tools or similar banking tech stacks (experience)
  • Certifications in AWS (e.g., Solutions Architect Professional) and AI/ML (e.g., AWS Machine Learning Specialty) (experience)
  • Background in financial modeling or risk management systems using AI (experience)
  • Prior work on agentic AI frameworks like LangChain or AutoGPT in production environments (experience)
  • Knowledge of blockchain or fintech innovations relevant to JPMorgan's operations (experience)

Responsibilities

  • Lead the design, development, and deployment of agentic AI solutions on AWS to automate complex financial workflows and enhance decision-making
  • Collaborate with cross-functional teams including data scientists, product managers, and compliance experts to integrate AI into core banking applications
  • Drive innovation in AI-driven tools for risk assessment, fraud detection, and customer personalization within JP Morgan Chase's ecosystem
  • Mentor junior engineers and foster a culture of technical excellence and knowledge sharing
  • Ensure all AI implementations adhere to financial regulations, data privacy standards, and JP Morgan's security protocols
  • Optimize AWS infrastructure for scalability, cost-efficiency, and high availability in handling large-scale financial data
  • Conduct code reviews, performance tuning, and troubleshooting to maintain robust, production-ready systems
  • Stay abreast of emerging AI technologies and evaluate their applicability to JP Morgan's strategic initiatives
  • Contribute to architectural decisions that span multiple technologies and applications, delivering significant business impact
  • Participate in agile ceremonies, sprint planning, and stakeholder presentations to align tech solutions with business goals

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 internal training programs
  • general: Employee stock purchase plan and financial wellness resources tailored to the banking industry
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements, including hybrid options in Wilmington, DE

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

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

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

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

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.