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Senior Lead Solutions Engineer -Senior Lead Software Engineer - Data Technology AI/ML and GenAI

JP Morgan Chase

Software and Technology Jobs

Senior Lead Solutions Engineer -Senior Lead Software Engineer - Data Technology AI/ML and GenAI

full-timePosted: Oct 24, 2025

Job Description

Senior Lead Solutions Engineer -Senior Lead Software Engineer - Data Technology AI/ML and GenAI

Location: Jersey City, NJ, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of leveraging AI/ML and Generative AI to transform the financial services landscape, powering everything from personalized banking experiences to advanced risk management. As a Senior Lead Solutions Engineer - Senior Lead Software Engineer in Data Technology AI/ML and GenAI, you will drive significant business impact by tackling a diverse array of challenges across cloud infrastructure and DevOps technologies. Based in our Jersey City, NJ office, you will lead initiatives that integrate cutting-edge AI solutions into our global operations, ensuring they deliver scalable, secure, and compliant outcomes for clients worldwide. This role offers the opportunity to innovate in a dynamic environment where technology meets finance, contributing to JP Morgan's mission of reimagining the future of banking. In this senior leadership position, you will architect and implement AI-driven platforms that handle massive datasets from trading, lending, and investment services. Your responsibilities will include collaborating with data scientists and engineers to build robust ML models, optimizing GenAI applications for real-time decision-making, and ensuring seamless integration with our cloud-native infrastructure. You will navigate the complexities of financial regulations, mitigating risks while maximizing the potential of AI to enhance operational efficiency and client satisfaction. This is a hands-on role where you will mentor teams, foster innovation, and deliver projects that directly influence JP Morgan's competitive edge in fintech. Joining JP Morgan Chase means becoming part of a world-class team that values diversity, inclusion, and continuous learning. We provide unparalleled resources for professional growth, including access to state-of-the-art tools and partnerships with leading AI research institutions. If you are passionate about using technology to solve real-world financial challenges and thrive in a collaborative, high-impact setting, this role in Jersey City offers the perfect platform to advance your career while making a tangible difference in the industry.

Key Responsibilities

  • Lead the design, development, and deployment of AI/ML and Generative AI solutions to drive business impact in JP Morgan's data technology ecosystem
  • Collaborate with cross-functional teams including data scientists, product managers, and compliance officers to integrate AI models into financial applications
  • Architect scalable cloud infrastructure using AWS, Azure, or GCP, ensuring high availability and security for sensitive financial data
  • Implement DevOps best practices to automate deployments and optimize CI/CD pipelines for AI workloads
  • Tackle complex challenges in data processing, model training, and inference at scale, focusing on real-time financial analytics
  • Mentor junior engineers and foster a culture of innovation in AI-driven financial services
  • Conduct risk assessments and ensure AI solutions comply with regulatory standards in the banking sector
  • Monitor and optimize AI/ML systems for performance, cost-efficiency, and ethical AI practices
  • Drive proof-of-concept projects for emerging GenAI technologies to enhance client experiences in wealth management and trading
  • Contribute to strategic roadmaps for data technology, aligning with JP Morgan's global business objectives

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 8+ years of experience in software engineering with a focus on AI/ML and Generative AI technologies
  • Proven track record in designing and implementing scalable cloud-based solutions in financial services
  • Strong experience with DevOps practices, CI/CD pipelines, and infrastructure as code (IaC)
  • Deep knowledge of data technologies including big data processing, ETL pipelines, and machine learning frameworks
  • Ability to lead cross-functional teams and drive projects from inception to production in a regulated environment
  • Familiarity with financial regulations such as GDPR, SOX, and risk management in AI applications

Preferred Qualifications

  • Experience with JP Morgan's internal tools and platforms, such as proprietary AI/ML frameworks
  • Advanced certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure AI Engineer)
  • Prior work in high-stakes financial environments, including trading systems or risk analytics
  • Publications or contributions to open-source AI/ML projects relevant to finance
  • MBA or domain expertise in fintech innovations and blockchain integration with AI

Required Skills

  • Proficiency in Python, Java, or Scala for AI/ML development
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or scikit-learn
  • Experience with Generative AI models such as GPT, Stable Diffusion, or custom LLMs
  • Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
  • DevOps tools including Jenkins, Terraform, and Ansible for infrastructure automation
  • Data engineering skills with Spark, Kafka, Hadoop, and SQL/NoSQL databases
  • Understanding of financial data models, risk analytics, and algorithmic trading
  • Problem-solving and analytical thinking in complex, high-pressure environments
  • Leadership and communication skills for team collaboration and stakeholder management
  • Agile methodologies and version control with Git
  • Security best practices for AI in regulated industries
  • Ethical AI principles and bias mitigation techniques
  • Performance optimization for large-scale data pipelines
  • Integration of AI with legacy financial systems

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
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements including hybrid options in Jersey City

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/ML developmentintermediate
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or scikit-learnintermediate
  • Experience with Generative AI models such as GPT, Stable Diffusion, or custom LLMsintermediate
  • Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)intermediate
  • DevOps tools including Jenkins, Terraform, and Ansible for infrastructure automationintermediate
  • Data engineering skills with Spark, Kafka, Hadoop, and SQL/NoSQL databasesintermediate
  • Understanding of financial data models, risk analytics, and algorithmic tradingintermediate
  • Problem-solving and analytical thinking in complex, high-pressure environmentsintermediate
  • Leadership and communication skills for team collaboration and stakeholder managementintermediate
  • Agile methodologies and version control with Gitintermediate
  • Security best practices for AI in regulated industriesintermediate
  • Ethical AI principles and bias mitigation techniquesintermediate
  • Performance optimization for large-scale data pipelinesintermediate
  • Integration of AI with legacy financial systemsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 8+ years of experience in software engineering with a focus on AI/ML and Generative AI technologies (experience)
  • Proven track record in designing and implementing scalable cloud-based solutions in financial services (experience)
  • Strong experience with DevOps practices, CI/CD pipelines, and infrastructure as code (IaC) (experience)
  • Deep knowledge of data technologies including big data processing, ETL pipelines, and machine learning frameworks (experience)
  • Ability to lead cross-functional teams and drive projects from inception to production in a regulated environment (experience)
  • Familiarity with financial regulations such as GDPR, SOX, and risk management in AI applications (experience)

Preferred Qualifications

  • Experience with JP Morgan's internal tools and platforms, such as proprietary AI/ML frameworks (experience)
  • Advanced certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure AI Engineer) (experience)
  • Prior work in high-stakes financial environments, including trading systems or risk analytics (experience)
  • Publications or contributions to open-source AI/ML projects relevant to finance (experience)
  • MBA or domain expertise in fintech innovations and blockchain integration with AI (experience)

Responsibilities

  • Lead the design, development, and deployment of AI/ML and Generative AI solutions to drive business impact in JP Morgan's data technology ecosystem
  • Collaborate with cross-functional teams including data scientists, product managers, and compliance officers to integrate AI models into financial applications
  • Architect scalable cloud infrastructure using AWS, Azure, or GCP, ensuring high availability and security for sensitive financial data
  • Implement DevOps best practices to automate deployments and optimize CI/CD pipelines for AI workloads
  • Tackle complex challenges in data processing, model training, and inference at scale, focusing on real-time financial analytics
  • Mentor junior engineers and foster a culture of innovation in AI-driven financial services
  • Conduct risk assessments and ensure AI solutions comply with regulatory standards in the banking sector
  • Monitor and optimize AI/ML systems for performance, cost-efficiency, and ethical AI practices
  • Drive proof-of-concept projects for emerging GenAI technologies to enhance client experiences in wealth management and trading
  • Contribute to strategic roadmaps for data technology, aligning with JP Morgan's global business objectives

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: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements including hybrid options in Jersey City

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JP Morgan Chase logo

Senior Lead Solutions Engineer -Senior Lead Software Engineer - Data Technology AI/ML and GenAI

JP Morgan Chase

Software and Technology Jobs

Senior Lead Solutions Engineer -Senior Lead Software Engineer - Data Technology AI/ML and GenAI

full-timePosted: Oct 24, 2025

Job Description

Senior Lead Solutions Engineer -Senior Lead Software Engineer - Data Technology AI/ML and GenAI

Location: Jersey City, NJ, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of leveraging AI/ML and Generative AI to transform the financial services landscape, powering everything from personalized banking experiences to advanced risk management. As a Senior Lead Solutions Engineer - Senior Lead Software Engineer in Data Technology AI/ML and GenAI, you will drive significant business impact by tackling a diverse array of challenges across cloud infrastructure and DevOps technologies. Based in our Jersey City, NJ office, you will lead initiatives that integrate cutting-edge AI solutions into our global operations, ensuring they deliver scalable, secure, and compliant outcomes for clients worldwide. This role offers the opportunity to innovate in a dynamic environment where technology meets finance, contributing to JP Morgan's mission of reimagining the future of banking. In this senior leadership position, you will architect and implement AI-driven platforms that handle massive datasets from trading, lending, and investment services. Your responsibilities will include collaborating with data scientists and engineers to build robust ML models, optimizing GenAI applications for real-time decision-making, and ensuring seamless integration with our cloud-native infrastructure. You will navigate the complexities of financial regulations, mitigating risks while maximizing the potential of AI to enhance operational efficiency and client satisfaction. This is a hands-on role where you will mentor teams, foster innovation, and deliver projects that directly influence JP Morgan's competitive edge in fintech. Joining JP Morgan Chase means becoming part of a world-class team that values diversity, inclusion, and continuous learning. We provide unparalleled resources for professional growth, including access to state-of-the-art tools and partnerships with leading AI research institutions. If you are passionate about using technology to solve real-world financial challenges and thrive in a collaborative, high-impact setting, this role in Jersey City offers the perfect platform to advance your career while making a tangible difference in the industry.

Key Responsibilities

  • Lead the design, development, and deployment of AI/ML and Generative AI solutions to drive business impact in JP Morgan's data technology ecosystem
  • Collaborate with cross-functional teams including data scientists, product managers, and compliance officers to integrate AI models into financial applications
  • Architect scalable cloud infrastructure using AWS, Azure, or GCP, ensuring high availability and security for sensitive financial data
  • Implement DevOps best practices to automate deployments and optimize CI/CD pipelines for AI workloads
  • Tackle complex challenges in data processing, model training, and inference at scale, focusing on real-time financial analytics
  • Mentor junior engineers and foster a culture of innovation in AI-driven financial services
  • Conduct risk assessments and ensure AI solutions comply with regulatory standards in the banking sector
  • Monitor and optimize AI/ML systems for performance, cost-efficiency, and ethical AI practices
  • Drive proof-of-concept projects for emerging GenAI technologies to enhance client experiences in wealth management and trading
  • Contribute to strategic roadmaps for data technology, aligning with JP Morgan's global business objectives

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 8+ years of experience in software engineering with a focus on AI/ML and Generative AI technologies
  • Proven track record in designing and implementing scalable cloud-based solutions in financial services
  • Strong experience with DevOps practices, CI/CD pipelines, and infrastructure as code (IaC)
  • Deep knowledge of data technologies including big data processing, ETL pipelines, and machine learning frameworks
  • Ability to lead cross-functional teams and drive projects from inception to production in a regulated environment
  • Familiarity with financial regulations such as GDPR, SOX, and risk management in AI applications

Preferred Qualifications

  • Experience with JP Morgan's internal tools and platforms, such as proprietary AI/ML frameworks
  • Advanced certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure AI Engineer)
  • Prior work in high-stakes financial environments, including trading systems or risk analytics
  • Publications or contributions to open-source AI/ML projects relevant to finance
  • MBA or domain expertise in fintech innovations and blockchain integration with AI

Required Skills

  • Proficiency in Python, Java, or Scala for AI/ML development
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or scikit-learn
  • Experience with Generative AI models such as GPT, Stable Diffusion, or custom LLMs
  • Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
  • DevOps tools including Jenkins, Terraform, and Ansible for infrastructure automation
  • Data engineering skills with Spark, Kafka, Hadoop, and SQL/NoSQL databases
  • Understanding of financial data models, risk analytics, and algorithmic trading
  • Problem-solving and analytical thinking in complex, high-pressure environments
  • Leadership and communication skills for team collaboration and stakeholder management
  • Agile methodologies and version control with Git
  • Security best practices for AI in regulated industries
  • Ethical AI principles and bias mitigation techniques
  • Performance optimization for large-scale data pipelines
  • Integration of AI with legacy financial systems

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
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements including hybrid options in Jersey City

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/ML developmentintermediate
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or scikit-learnintermediate
  • Experience with Generative AI models such as GPT, Stable Diffusion, or custom LLMsintermediate
  • Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)intermediate
  • DevOps tools including Jenkins, Terraform, and Ansible for infrastructure automationintermediate
  • Data engineering skills with Spark, Kafka, Hadoop, and SQL/NoSQL databasesintermediate
  • Understanding of financial data models, risk analytics, and algorithmic tradingintermediate
  • Problem-solving and analytical thinking in complex, high-pressure environmentsintermediate
  • Leadership and communication skills for team collaboration and stakeholder managementintermediate
  • Agile methodologies and version control with Gitintermediate
  • Security best practices for AI in regulated industriesintermediate
  • Ethical AI principles and bias mitigation techniquesintermediate
  • Performance optimization for large-scale data pipelinesintermediate
  • Integration of AI with legacy financial systemsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 8+ years of experience in software engineering with a focus on AI/ML and Generative AI technologies (experience)
  • Proven track record in designing and implementing scalable cloud-based solutions in financial services (experience)
  • Strong experience with DevOps practices, CI/CD pipelines, and infrastructure as code (IaC) (experience)
  • Deep knowledge of data technologies including big data processing, ETL pipelines, and machine learning frameworks (experience)
  • Ability to lead cross-functional teams and drive projects from inception to production in a regulated environment (experience)
  • Familiarity with financial regulations such as GDPR, SOX, and risk management in AI applications (experience)

Preferred Qualifications

  • Experience with JP Morgan's internal tools and platforms, such as proprietary AI/ML frameworks (experience)
  • Advanced certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure AI Engineer) (experience)
  • Prior work in high-stakes financial environments, including trading systems or risk analytics (experience)
  • Publications or contributions to open-source AI/ML projects relevant to finance (experience)
  • MBA or domain expertise in fintech innovations and blockchain integration with AI (experience)

Responsibilities

  • Lead the design, development, and deployment of AI/ML and Generative AI solutions to drive business impact in JP Morgan's data technology ecosystem
  • Collaborate with cross-functional teams including data scientists, product managers, and compliance officers to integrate AI models into financial applications
  • Architect scalable cloud infrastructure using AWS, Azure, or GCP, ensuring high availability and security for sensitive financial data
  • Implement DevOps best practices to automate deployments and optimize CI/CD pipelines for AI workloads
  • Tackle complex challenges in data processing, model training, and inference at scale, focusing on real-time financial analytics
  • Mentor junior engineers and foster a culture of innovation in AI-driven financial services
  • Conduct risk assessments and ensure AI solutions comply with regulatory standards in the banking sector
  • Monitor and optimize AI/ML systems for performance, cost-efficiency, and ethical AI practices
  • Drive proof-of-concept projects for emerging GenAI technologies to enhance client experiences in wealth management and trading
  • Contribute to strategic roadmaps for data technology, aligning with JP Morgan's global business objectives

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: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements including hybrid options in Jersey City

Target Your Resume for "Senior Lead Solutions Engineer -Senior Lead Software Engineer - Data Technology AI/ML and GenAI" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Senior Lead Solutions Engineer -Senior Lead Software Engineer - Data Technology AI/ML and GenAI. Takes only 15 seconds!

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

Check Your ATS Score for "Senior Lead Solutions Engineer -Senior Lead Software Engineer - Data Technology AI/ML and GenAI" , 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 Solutions Engineer -Senior Lead Software Engineer - Data Technology AI/ML and GenAI @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.