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Lead Software Engineer-AI Platform Engineer

JP Morgan Chase

Software and Technology Jobs

Lead Software Engineer-AI Platform Engineer

full-timePosted: Sep 15, 2025

Job Description

Lead Software Engineer-AI Platform Engineer

Location: Jersey City, NJ, United States

Job Family: Software Engineering

About the Role

At JPMorgan Chase, we are at the forefront of innovation in financial services, leveraging cutting-edge AI technologies to drive efficiency, mitigate risks, and enhance customer experiences. As a Lead Software Engineer - AI Platform Engineer in our Jersey City, NJ office, you will play a pivotal role in building and scaling AI platforms that power mission-critical applications across our global operations. This position involves carrying out critical tech solutions across multiple technical areas as an integral part of an agile team, focusing on developing robust, secure, and high-performance AI infrastructure tailored to the demands of the financial industry. You will collaborate with elite teams of engineers, data scientists, and business leaders to transform complex data into actionable insights for areas like fraud detection, algorithmic trading, and personalized banking services. In this leadership role, you will architect and implement AI platforms that integrate seamlessly with JPMorgan's vast ecosystem of financial tools, ensuring compliance with stringent regulatory requirements such as those from the SEC and FINRA. Your responsibilities will include overseeing the end-to-end development lifecycle, from prototyping innovative AI solutions to deploying them in production environments that handle trillions in transactions daily. You will mentor team members, foster a culture of continuous improvement, and champion best practices in software engineering to maintain our position as a technology leader in banking. This role demands a deep technical expertise combined with a strategic mindset to align AI advancements with business objectives. JPMorgan Chase offers an inclusive environment where diverse perspectives fuel innovation and growth. Joining our team means contributing to a legacy of excellence while benefiting from unparalleled resources for professional development. If you are passionate about AI and eager to make a tangible impact in the financial sector, this opportunity allows you to lead transformative projects that redefine how the world banks with us.

Key Responsibilities

  • Design, develop, and maintain scalable AI platforms that support machine learning models for financial applications
  • Lead a cross-functional agile team to deliver critical tech solutions across multiple technical domains
  • Collaborate with data scientists, product managers, and stakeholders to integrate AI into core banking systems
  • Ensure platform reliability, security, and compliance with financial industry standards
  • Optimize AI infrastructure for performance in high-volume transaction environments
  • Mentor junior engineers and drive best practices in code quality and deployment
  • Conduct code reviews, troubleshoot issues, and implement monitoring for AI systems
  • Stay abreast of emerging AI technologies and evaluate their applicability to JPMorgan's financial services
  • Contribute to the evolution of internal AI tools that enhance risk assessment and fraud detection

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 8+ years of experience in software engineering, with a focus on AI and machine learning platforms
  • Proven track record of leading engineering teams in agile environments within financial services
  • Strong understanding of AI/ML frameworks and scalable platform development
  • Experience with cloud platforms such as AWS, Azure, or GCP in a regulated industry
  • Knowledge of financial regulations like GDPR, SOX, and data privacy standards
  • Excellent problem-solving skills and ability to handle complex technical challenges

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline
  • Experience with AI platforms in high-frequency trading or risk management systems
  • Certifications in AWS, Kubernetes, or AI-specific technologies
  • Prior work at a major financial institution on AI-driven solutions
  • Familiarity with JPMorgan Chase's internal tech stack and DevOps practices

Required Skills

  • Proficiency in Python, Java, or Scala for AI platform development
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Kubeflow
  • Strong knowledge of containerization and orchestration with Docker and Kubernetes
  • Experience with big data technologies such as Apache Spark or Hadoop
  • Cloud computing skills in AWS, Azure, or Google Cloud Platform
  • Understanding of microservices architecture and API design
  • Data security and encryption practices for financial data handling
  • Agile methodologies including Scrum and Kanban
  • Problem-solving and analytical thinking
  • Leadership and team collaboration skills
  • Communication skills for stakeholder engagement
  • Version control with Git and CI/CD pipelines
  • Performance tuning for AI models in production
  • Familiarity with SQL/NoSQL databases
  • Adaptability to fast-paced financial environments

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 programs and tuition reimbursement
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers and wellness programs at Jersey City location
  • Flexible work arrangements and hybrid remote options

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, 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

  • Proficiency in Python, Java, or Scala for AI platform developmentintermediate
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Kubeflowintermediate
  • Strong knowledge of containerization and orchestration with Docker and Kubernetesintermediate
  • Experience with big data technologies such as Apache Spark or Hadoopintermediate
  • Cloud computing skills in AWS, Azure, or Google Cloud Platformintermediate
  • Understanding of microservices architecture and API designintermediate
  • Data security and encryption practices for financial data handlingintermediate
  • Agile methodologies including Scrum and Kanbanintermediate
  • Problem-solving and analytical thinkingintermediate
  • Leadership and team collaboration skillsintermediate
  • Communication skills for stakeholder engagementintermediate
  • Version control with Git and CI/CD pipelinesintermediate
  • Performance tuning for AI models in productionintermediate
  • Familiarity with SQL/NoSQL databasesintermediate
  • Adaptability to fast-paced financial environmentsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 8+ years of experience in software engineering, with a focus on AI and machine learning platforms (experience)
  • Proven track record of leading engineering teams in agile environments within financial services (experience)
  • Strong understanding of AI/ML frameworks and scalable platform development (experience)
  • Experience with cloud platforms such as AWS, Azure, or GCP in a regulated industry (experience)
  • Knowledge of financial regulations like GDPR, SOX, and data privacy standards (experience)
  • Excellent problem-solving skills and ability to handle complex technical challenges (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline (experience)
  • Experience with AI platforms in high-frequency trading or risk management systems (experience)
  • Certifications in AWS, Kubernetes, or AI-specific technologies (experience)
  • Prior work at a major financial institution on AI-driven solutions (experience)
  • Familiarity with JPMorgan Chase's internal tech stack and DevOps practices (experience)

Responsibilities

  • Design, develop, and maintain scalable AI platforms that support machine learning models for financial applications
  • Lead a cross-functional agile team to deliver critical tech solutions across multiple technical domains
  • Collaborate with data scientists, product managers, and stakeholders to integrate AI into core banking systems
  • Ensure platform reliability, security, and compliance with financial industry standards
  • Optimize AI infrastructure for performance in high-volume transaction environments
  • Mentor junior engineers and drive best practices in code quality and deployment
  • Conduct code reviews, troubleshoot issues, and implement monitoring for AI systems
  • Stay abreast of emerging AI technologies and evaluate their applicability to JPMorgan's financial services
  • Contribute to the evolution of internal AI tools that enhance risk assessment and fraud detection

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 programs and tuition reimbursement
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers and wellness programs at Jersey City location
  • general: Flexible work arrangements and hybrid remote options

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JP Morgan Chase logo

Lead Software Engineer-AI Platform Engineer

JP Morgan Chase

Software and Technology Jobs

Lead Software Engineer-AI Platform Engineer

full-timePosted: Sep 15, 2025

Job Description

Lead Software Engineer-AI Platform Engineer

Location: Jersey City, NJ, United States

Job Family: Software Engineering

About the Role

At JPMorgan Chase, we are at the forefront of innovation in financial services, leveraging cutting-edge AI technologies to drive efficiency, mitigate risks, and enhance customer experiences. As a Lead Software Engineer - AI Platform Engineer in our Jersey City, NJ office, you will play a pivotal role in building and scaling AI platforms that power mission-critical applications across our global operations. This position involves carrying out critical tech solutions across multiple technical areas as an integral part of an agile team, focusing on developing robust, secure, and high-performance AI infrastructure tailored to the demands of the financial industry. You will collaborate with elite teams of engineers, data scientists, and business leaders to transform complex data into actionable insights for areas like fraud detection, algorithmic trading, and personalized banking services. In this leadership role, you will architect and implement AI platforms that integrate seamlessly with JPMorgan's vast ecosystem of financial tools, ensuring compliance with stringent regulatory requirements such as those from the SEC and FINRA. Your responsibilities will include overseeing the end-to-end development lifecycle, from prototyping innovative AI solutions to deploying them in production environments that handle trillions in transactions daily. You will mentor team members, foster a culture of continuous improvement, and champion best practices in software engineering to maintain our position as a technology leader in banking. This role demands a deep technical expertise combined with a strategic mindset to align AI advancements with business objectives. JPMorgan Chase offers an inclusive environment where diverse perspectives fuel innovation and growth. Joining our team means contributing to a legacy of excellence while benefiting from unparalleled resources for professional development. If you are passionate about AI and eager to make a tangible impact in the financial sector, this opportunity allows you to lead transformative projects that redefine how the world banks with us.

Key Responsibilities

  • Design, develop, and maintain scalable AI platforms that support machine learning models for financial applications
  • Lead a cross-functional agile team to deliver critical tech solutions across multiple technical domains
  • Collaborate with data scientists, product managers, and stakeholders to integrate AI into core banking systems
  • Ensure platform reliability, security, and compliance with financial industry standards
  • Optimize AI infrastructure for performance in high-volume transaction environments
  • Mentor junior engineers and drive best practices in code quality and deployment
  • Conduct code reviews, troubleshoot issues, and implement monitoring for AI systems
  • Stay abreast of emerging AI technologies and evaluate their applicability to JPMorgan's financial services
  • Contribute to the evolution of internal AI tools that enhance risk assessment and fraud detection

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 8+ years of experience in software engineering, with a focus on AI and machine learning platforms
  • Proven track record of leading engineering teams in agile environments within financial services
  • Strong understanding of AI/ML frameworks and scalable platform development
  • Experience with cloud platforms such as AWS, Azure, or GCP in a regulated industry
  • Knowledge of financial regulations like GDPR, SOX, and data privacy standards
  • Excellent problem-solving skills and ability to handle complex technical challenges

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline
  • Experience with AI platforms in high-frequency trading or risk management systems
  • Certifications in AWS, Kubernetes, or AI-specific technologies
  • Prior work at a major financial institution on AI-driven solutions
  • Familiarity with JPMorgan Chase's internal tech stack and DevOps practices

Required Skills

  • Proficiency in Python, Java, or Scala for AI platform development
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Kubeflow
  • Strong knowledge of containerization and orchestration with Docker and Kubernetes
  • Experience with big data technologies such as Apache Spark or Hadoop
  • Cloud computing skills in AWS, Azure, or Google Cloud Platform
  • Understanding of microservices architecture and API design
  • Data security and encryption practices for financial data handling
  • Agile methodologies including Scrum and Kanban
  • Problem-solving and analytical thinking
  • Leadership and team collaboration skills
  • Communication skills for stakeholder engagement
  • Version control with Git and CI/CD pipelines
  • Performance tuning for AI models in production
  • Familiarity with SQL/NoSQL databases
  • Adaptability to fast-paced financial environments

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 programs and tuition reimbursement
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers and wellness programs at Jersey City location
  • Flexible work arrangements and hybrid remote options

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, 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

  • Proficiency in Python, Java, or Scala for AI platform developmentintermediate
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Kubeflowintermediate
  • Strong knowledge of containerization and orchestration with Docker and Kubernetesintermediate
  • Experience with big data technologies such as Apache Spark or Hadoopintermediate
  • Cloud computing skills in AWS, Azure, or Google Cloud Platformintermediate
  • Understanding of microservices architecture and API designintermediate
  • Data security and encryption practices for financial data handlingintermediate
  • Agile methodologies including Scrum and Kanbanintermediate
  • Problem-solving and analytical thinkingintermediate
  • Leadership and team collaboration skillsintermediate
  • Communication skills for stakeholder engagementintermediate
  • Version control with Git and CI/CD pipelinesintermediate
  • Performance tuning for AI models in productionintermediate
  • Familiarity with SQL/NoSQL databasesintermediate
  • Adaptability to fast-paced financial environmentsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 8+ years of experience in software engineering, with a focus on AI and machine learning platforms (experience)
  • Proven track record of leading engineering teams in agile environments within financial services (experience)
  • Strong understanding of AI/ML frameworks and scalable platform development (experience)
  • Experience with cloud platforms such as AWS, Azure, or GCP in a regulated industry (experience)
  • Knowledge of financial regulations like GDPR, SOX, and data privacy standards (experience)
  • Excellent problem-solving skills and ability to handle complex technical challenges (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline (experience)
  • Experience with AI platforms in high-frequency trading or risk management systems (experience)
  • Certifications in AWS, Kubernetes, or AI-specific technologies (experience)
  • Prior work at a major financial institution on AI-driven solutions (experience)
  • Familiarity with JPMorgan Chase's internal tech stack and DevOps practices (experience)

Responsibilities

  • Design, develop, and maintain scalable AI platforms that support machine learning models for financial applications
  • Lead a cross-functional agile team to deliver critical tech solutions across multiple technical domains
  • Collaborate with data scientists, product managers, and stakeholders to integrate AI into core banking systems
  • Ensure platform reliability, security, and compliance with financial industry standards
  • Optimize AI infrastructure for performance in high-volume transaction environments
  • Mentor junior engineers and drive best practices in code quality and deployment
  • Conduct code reviews, troubleshoot issues, and implement monitoring for AI systems
  • Stay abreast of emerging AI technologies and evaluate their applicability to JPMorgan's financial services
  • Contribute to the evolution of internal AI tools that enhance risk assessment and fraud detection

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 programs and tuition reimbursement
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers and wellness programs at Jersey City location
  • general: Flexible work arrangements and hybrid remote options

Target Your Resume for "Lead Software Engineer-AI Platform Engineer" , JP Morgan Chase

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

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

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

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~2 Minutes
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Related Books and Jobs

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