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Lead Software Engineer - Full Stack/Generative AI/LLM

JP Morgan Chase

Software and Technology Jobs

Lead Software Engineer - Full Stack/Generative AI/LLM

full-timePosted: Dec 10, 2025

Job Description

Lead Software Engineer - Full Stack/Generative AI/LLM

Location: Plano, TX, 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 - Full Stack/Generative AI/LLM in our Plano, TX office, you will play a pivotal role in an agile team delivering critical tech solutions across multiple domains. This position involves leading the development of innovative applications that harness Generative AI and Large Language Models (LLMs) to enhance everything from risk assessment and fraud detection to personalized client experiences in banking and investment management. You will collaborate with diverse teams to build scalable, secure systems that comply with stringent financial regulations, driving JP Morgan Chase's mission to redefine global finance through technology. Your responsibilities will span the full software development lifecycle, from architecting AI-integrated full-stack solutions to mentoring engineers and optimizing performance in production environments. With a focus on technologies like Python, JavaScript, and cloud platforms such as AWS, you will prototype and deploy features that leverage LLMs for advanced analytics, natural language interfaces, and automated decision-making. In this leadership role, you will ensure that all solutions adhere to JP Morgan Chase's high standards for security, ethics, and efficiency, mitigating risks associated with AI in a highly regulated sector while fostering innovation that supports our clients' financial goals. Joining JP Morgan Chase means becoming part of a world-class organization committed to your growth and well-being. We offer unparalleled opportunities to work on impactful projects that shape the future of finance, backed by a supportive culture that values diversity, inclusion, and continuous learning. If you are a seasoned engineer passionate about AI's potential in financial services, this role provides the platform to lead transformative initiatives in a dynamic, collaborative environment.

Key Responsibilities

  • Lead the design, development, and deployment of full-stack applications integrating Generative AI and LLMs to solve complex business challenges in financial services
  • Collaborate with cross-functional agile teams, including product managers, data scientists, and compliance experts, to deliver innovative tech solutions
  • Architect scalable, secure systems that handle sensitive financial data while leveraging AI for enhanced decision-making and automation
  • Mentor junior engineers, conduct code reviews, and foster best practices in software engineering within JP Morgan Chase's technology ecosystem
  • Integrate AI models into enterprise platforms, ensuring performance optimization and real-time processing for trading, risk management, or customer service applications
  • Identify and mitigate technical risks, including those related to AI ethics, bias in LLMs, and cybersecurity in a regulated financial environment
  • Drive innovation by prototyping new Generative AI features, such as natural language processing for financial analytics or chatbots for client interactions
  • Monitor and maintain production systems, troubleshooting issues and implementing updates to support JP Morgan Chase's global operations
  • Contribute to strategic tech initiatives, aligning engineering efforts with business goals in areas like digital banking and investment management

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience
  • 7+ years of experience in full-stack software development with proficiency in modern programming languages such as Java, Python, or JavaScript
  • Strong experience with Generative AI and Large Language Models (LLMs), including frameworks like TensorFlow, PyTorch, or Hugging Face Transformers
  • Proven track record of leading engineering teams in agile environments within the financial services sector
  • Deep understanding of cloud platforms such as AWS, Azure, or Google Cloud, with a focus on scalable AI solutions
  • Experience with secure coding practices and compliance standards relevant to financial institutions, including data privacy regulations like GDPR and SOX

Preferred Qualifications

  • Master's degree in Computer Science, AI, or a related field
  • Experience in developing AI-driven applications for financial services, such as fraud detection or personalized banking solutions
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning) or full-stack development
  • Prior work at a major financial institution, with knowledge of regulatory requirements in banking technology

Required Skills

  • Full-stack development (Java, Python, JavaScript, React, Node.js)
  • Generative AI and LLMs (e.g., GPT models, fine-tuning techniques)
  • Machine Learning frameworks (TensorFlow, PyTorch, Hugging Face)
  • Cloud computing (AWS, Azure, containerization with Docker/Kubernetes)
  • API design and integration (RESTful services, GraphQL)
  • Database management (SQL/NoSQL, e.g., PostgreSQL, MongoDB)
  • Agile methodologies (Scrum, Kanban, Jira)
  • Secure coding and DevSecOps practices
  • Data privacy and compliance in financial services
  • Problem-solving and analytical thinking
  • Leadership and team collaboration
  • Version control (Git) and CI/CD pipelines
  • Natural Language Processing (NLP) for AI applications
  • Performance optimization for AI models
  • Communication skills for stakeholder engagement

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 leave, and parental leave
  • Professional development opportunities, such as tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources
  • Wellness programs including gym memberships and mental health support
  • Flexible work arrangements, including hybrid options in Plano, TX

JP Morgan Chase is an equal opportunity employer.

Locations

  • Plano, 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

  • Full-stack development (Java, Python, JavaScript, React, Node.js)intermediate
  • Generative AI and LLMs (e.g., GPT models, fine-tuning techniques)intermediate
  • Machine Learning frameworks (TensorFlow, PyTorch, Hugging Face)intermediate
  • Cloud computing (AWS, Azure, containerization with Docker/Kubernetes)intermediate
  • API design and integration (RESTful services, GraphQL)intermediate
  • Database management (SQL/NoSQL, e.g., PostgreSQL, MongoDB)intermediate
  • Agile methodologies (Scrum, Kanban, Jira)intermediate
  • Secure coding and DevSecOps practicesintermediate
  • Data privacy and compliance in financial servicesintermediate
  • Problem-solving and analytical thinkingintermediate
  • Leadership and team collaborationintermediate
  • Version control (Git) and CI/CD pipelinesintermediate
  • Natural Language Processing (NLP) for AI applicationsintermediate
  • Performance optimization for AI modelsintermediate
  • Communication skills for stakeholder engagementintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience (experience)
  • 7+ years of experience in full-stack software development with proficiency in modern programming languages such as Java, Python, or JavaScript (experience)
  • Strong experience with Generative AI and Large Language Models (LLMs), including frameworks like TensorFlow, PyTorch, or Hugging Face Transformers (experience)
  • Proven track record of leading engineering teams in agile environments within the financial services sector (experience)
  • Deep understanding of cloud platforms such as AWS, Azure, or Google Cloud, with a focus on scalable AI solutions (experience)
  • Experience with secure coding practices and compliance standards relevant to financial institutions, including data privacy regulations like GDPR and SOX (experience)

Preferred Qualifications

  • Master's degree in Computer Science, AI, or a related field (experience)
  • Experience in developing AI-driven applications for financial services, such as fraud detection or personalized banking solutions (experience)
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning) or full-stack development (experience)
  • Prior work at a major financial institution, with knowledge of regulatory requirements in banking technology (experience)

Responsibilities

  • Lead the design, development, and deployment of full-stack applications integrating Generative AI and LLMs to solve complex business challenges in financial services
  • Collaborate with cross-functional agile teams, including product managers, data scientists, and compliance experts, to deliver innovative tech solutions
  • Architect scalable, secure systems that handle sensitive financial data while leveraging AI for enhanced decision-making and automation
  • Mentor junior engineers, conduct code reviews, and foster best practices in software engineering within JP Morgan Chase's technology ecosystem
  • Integrate AI models into enterprise platforms, ensuring performance optimization and real-time processing for trading, risk management, or customer service applications
  • Identify and mitigate technical risks, including those related to AI ethics, bias in LLMs, and cybersecurity in a regulated financial environment
  • Drive innovation by prototyping new Generative AI features, such as natural language processing for financial analytics or chatbots for client interactions
  • Monitor and maintain production systems, troubleshooting issues and implementing updates to support JP Morgan Chase's global operations
  • Contribute to strategic tech initiatives, aligning engineering efforts with business goals in areas like digital banking and investment management

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 leave, and parental leave
  • general: Professional development opportunities, such as tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: Wellness programs including gym memberships and mental health support
  • general: Flexible work arrangements, including hybrid options in Plano, TX

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JP Morgan Chase logo

Lead Software Engineer - Full Stack/Generative AI/LLM

JP Morgan Chase

Software and Technology Jobs

Lead Software Engineer - Full Stack/Generative AI/LLM

full-timePosted: Dec 10, 2025

Job Description

Lead Software Engineer - Full Stack/Generative AI/LLM

Location: Plano, TX, 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 - Full Stack/Generative AI/LLM in our Plano, TX office, you will play a pivotal role in an agile team delivering critical tech solutions across multiple domains. This position involves leading the development of innovative applications that harness Generative AI and Large Language Models (LLMs) to enhance everything from risk assessment and fraud detection to personalized client experiences in banking and investment management. You will collaborate with diverse teams to build scalable, secure systems that comply with stringent financial regulations, driving JP Morgan Chase's mission to redefine global finance through technology. Your responsibilities will span the full software development lifecycle, from architecting AI-integrated full-stack solutions to mentoring engineers and optimizing performance in production environments. With a focus on technologies like Python, JavaScript, and cloud platforms such as AWS, you will prototype and deploy features that leverage LLMs for advanced analytics, natural language interfaces, and automated decision-making. In this leadership role, you will ensure that all solutions adhere to JP Morgan Chase's high standards for security, ethics, and efficiency, mitigating risks associated with AI in a highly regulated sector while fostering innovation that supports our clients' financial goals. Joining JP Morgan Chase means becoming part of a world-class organization committed to your growth and well-being. We offer unparalleled opportunities to work on impactful projects that shape the future of finance, backed by a supportive culture that values diversity, inclusion, and continuous learning. If you are a seasoned engineer passionate about AI's potential in financial services, this role provides the platform to lead transformative initiatives in a dynamic, collaborative environment.

Key Responsibilities

  • Lead the design, development, and deployment of full-stack applications integrating Generative AI and LLMs to solve complex business challenges in financial services
  • Collaborate with cross-functional agile teams, including product managers, data scientists, and compliance experts, to deliver innovative tech solutions
  • Architect scalable, secure systems that handle sensitive financial data while leveraging AI for enhanced decision-making and automation
  • Mentor junior engineers, conduct code reviews, and foster best practices in software engineering within JP Morgan Chase's technology ecosystem
  • Integrate AI models into enterprise platforms, ensuring performance optimization and real-time processing for trading, risk management, or customer service applications
  • Identify and mitigate technical risks, including those related to AI ethics, bias in LLMs, and cybersecurity in a regulated financial environment
  • Drive innovation by prototyping new Generative AI features, such as natural language processing for financial analytics or chatbots for client interactions
  • Monitor and maintain production systems, troubleshooting issues and implementing updates to support JP Morgan Chase's global operations
  • Contribute to strategic tech initiatives, aligning engineering efforts with business goals in areas like digital banking and investment management

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience
  • 7+ years of experience in full-stack software development with proficiency in modern programming languages such as Java, Python, or JavaScript
  • Strong experience with Generative AI and Large Language Models (LLMs), including frameworks like TensorFlow, PyTorch, or Hugging Face Transformers
  • Proven track record of leading engineering teams in agile environments within the financial services sector
  • Deep understanding of cloud platforms such as AWS, Azure, or Google Cloud, with a focus on scalable AI solutions
  • Experience with secure coding practices and compliance standards relevant to financial institutions, including data privacy regulations like GDPR and SOX

Preferred Qualifications

  • Master's degree in Computer Science, AI, or a related field
  • Experience in developing AI-driven applications for financial services, such as fraud detection or personalized banking solutions
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning) or full-stack development
  • Prior work at a major financial institution, with knowledge of regulatory requirements in banking technology

Required Skills

  • Full-stack development (Java, Python, JavaScript, React, Node.js)
  • Generative AI and LLMs (e.g., GPT models, fine-tuning techniques)
  • Machine Learning frameworks (TensorFlow, PyTorch, Hugging Face)
  • Cloud computing (AWS, Azure, containerization with Docker/Kubernetes)
  • API design and integration (RESTful services, GraphQL)
  • Database management (SQL/NoSQL, e.g., PostgreSQL, MongoDB)
  • Agile methodologies (Scrum, Kanban, Jira)
  • Secure coding and DevSecOps practices
  • Data privacy and compliance in financial services
  • Problem-solving and analytical thinking
  • Leadership and team collaboration
  • Version control (Git) and CI/CD pipelines
  • Natural Language Processing (NLP) for AI applications
  • Performance optimization for AI models
  • Communication skills for stakeholder engagement

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 leave, and parental leave
  • Professional development opportunities, such as tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources
  • Wellness programs including gym memberships and mental health support
  • Flexible work arrangements, including hybrid options in Plano, TX

JP Morgan Chase is an equal opportunity employer.

Locations

  • Plano, 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

  • Full-stack development (Java, Python, JavaScript, React, Node.js)intermediate
  • Generative AI and LLMs (e.g., GPT models, fine-tuning techniques)intermediate
  • Machine Learning frameworks (TensorFlow, PyTorch, Hugging Face)intermediate
  • Cloud computing (AWS, Azure, containerization with Docker/Kubernetes)intermediate
  • API design and integration (RESTful services, GraphQL)intermediate
  • Database management (SQL/NoSQL, e.g., PostgreSQL, MongoDB)intermediate
  • Agile methodologies (Scrum, Kanban, Jira)intermediate
  • Secure coding and DevSecOps practicesintermediate
  • Data privacy and compliance in financial servicesintermediate
  • Problem-solving and analytical thinkingintermediate
  • Leadership and team collaborationintermediate
  • Version control (Git) and CI/CD pipelinesintermediate
  • Natural Language Processing (NLP) for AI applicationsintermediate
  • Performance optimization for AI modelsintermediate
  • Communication skills for stakeholder engagementintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience (experience)
  • 7+ years of experience in full-stack software development with proficiency in modern programming languages such as Java, Python, or JavaScript (experience)
  • Strong experience with Generative AI and Large Language Models (LLMs), including frameworks like TensorFlow, PyTorch, or Hugging Face Transformers (experience)
  • Proven track record of leading engineering teams in agile environments within the financial services sector (experience)
  • Deep understanding of cloud platforms such as AWS, Azure, or Google Cloud, with a focus on scalable AI solutions (experience)
  • Experience with secure coding practices and compliance standards relevant to financial institutions, including data privacy regulations like GDPR and SOX (experience)

Preferred Qualifications

  • Master's degree in Computer Science, AI, or a related field (experience)
  • Experience in developing AI-driven applications for financial services, such as fraud detection or personalized banking solutions (experience)
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning) or full-stack development (experience)
  • Prior work at a major financial institution, with knowledge of regulatory requirements in banking technology (experience)

Responsibilities

  • Lead the design, development, and deployment of full-stack applications integrating Generative AI and LLMs to solve complex business challenges in financial services
  • Collaborate with cross-functional agile teams, including product managers, data scientists, and compliance experts, to deliver innovative tech solutions
  • Architect scalable, secure systems that handle sensitive financial data while leveraging AI for enhanced decision-making and automation
  • Mentor junior engineers, conduct code reviews, and foster best practices in software engineering within JP Morgan Chase's technology ecosystem
  • Integrate AI models into enterprise platforms, ensuring performance optimization and real-time processing for trading, risk management, or customer service applications
  • Identify and mitigate technical risks, including those related to AI ethics, bias in LLMs, and cybersecurity in a regulated financial environment
  • Drive innovation by prototyping new Generative AI features, such as natural language processing for financial analytics or chatbots for client interactions
  • Monitor and maintain production systems, troubleshooting issues and implementing updates to support JP Morgan Chase's global operations
  • Contribute to strategic tech initiatives, aligning engineering efforts with business goals in areas like digital banking and investment management

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 leave, and parental leave
  • general: Professional development opportunities, such as tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: Wellness programs including gym memberships and mental health support
  • general: Flexible work arrangements, including hybrid options in Plano, TX

Target Your Resume for "Lead Software Engineer - Full Stack/Generative AI/LLM" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Lead Software Engineer - Full Stack/Generative AI/LLM. Takes only 15 seconds!

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

Check Your ATS Score for "Lead Software Engineer - Full Stack/Generative AI/LLM" , 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 - Full Stack/Generative AI/LLM @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.