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Software Engineer III - AI/ML

JP Morgan Chase

Software and Technology Jobs

Software Engineer III - AI/ML

full-timePosted: Dec 9, 2025

Job Description

Software Engineer III - AI/ML

Location: Plano, TX, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of innovation in the financial services industry, leveraging cutting-edge AI and machine learning to drive smarter decisions, enhance customer experiences, and mitigate risks. As a Software Engineer III - AI/ML in our Plano, TX office, you will play a pivotal role in an agile team, developing and implementing advanced AI/ML solutions across critical technical areas. This position involves working on high-impact projects such as fraud detection algorithms, personalized financial advisory tools, and predictive models for market trends, all while ensuring seamless integration with our global banking infrastructure. You will collaborate with data scientists, product managers, and compliance experts to deliver scalable, secure, and efficient technologies that support JP Morgan's mission to empower clients worldwide. Your day-to-day responsibilities will include architecting ML pipelines, experimenting with state-of-the-art models, and optimizing them for production deployment in cloud environments. You will analyze vast datasets from financial transactions, market feeds, and customer interactions to build robust AI systems that comply with stringent regulatory standards like those from the SEC and FDIC. As part of our dynamic team, you will participate in agile sprints, conduct thorough testing, and iterate based on real-world feedback, contributing to the evolution of JP Morgan's AI-driven platforms that handle trillions in assets daily. We value engineers who are passionate about innovation and thrive in a collaborative, fast-paced setting. This role offers the opportunity to grow your expertise in AI/ML while making a tangible impact on the financial landscape. Join JP Morgan Chase to advance your career in a company renowned for its technological leadership and commitment to ethical AI practices in finance.

Key Responsibilities

  • Design, develop, and deploy AI/ML models to solve complex problems in financial services, such as predictive analytics for credit risk or anomaly detection in transactions
  • Collaborate with agile teams to integrate AI/ML solutions into JP Morgan Chase's core banking platforms and trading systems
  • Conduct data analysis and preprocessing to ensure high-quality inputs for machine learning pipelines
  • Optimize and scale ML models for production environments, focusing on performance, reliability, and cost-efficiency
  • Participate in code reviews, testing, and debugging to maintain robust software standards
  • Stay abreast of emerging AI/ML trends and apply them to enhance JP Morgan's technological capabilities
  • Work with stakeholders to define requirements and translate business needs into technical AI solutions
  • Ensure compliance with regulatory requirements in all AI/ML implementations within the financial sector
  • Mentor junior engineers and contribute to knowledge sharing within the team
  • Monitor and maintain deployed models, performing retraining and updates as needed

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 5+ years of professional software engineering experience with a focus on AI/ML technologies
  • Proficiency in Python, Java, or Scala for developing scalable AI/ML models
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Strong understanding of data structures, algorithms, and software design principles
  • Demonstrated ability to work in agile environments and collaborate with cross-functional teams
  • Knowledge of financial services regulations and data privacy standards (e.g., GDPR, SOX)

Preferred Qualifications

  • Advanced degree in AI, Machine Learning, or Data Science
  • Experience in financial services, particularly in risk modeling, fraud detection, or algorithmic trading
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for ML deployments
  • Certifications in AI/ML (e.g., Google Professional Machine Learning Engineer)
  • Prior contributions to open-source AI/ML projects or publications in relevant conferences

Required Skills

  • Machine Learning and AI model development
  • Python programming expertise
  • TensorFlow or PyTorch proficiency
  • Data preprocessing and feature engineering
  • SQL and big data technologies (e.g., Hadoop, Spark)
  • Cloud computing (AWS, Azure)
  • Agile methodologies and Scrum
  • Version control with Git
  • Problem-solving and analytical thinking
  • Communication and collaboration skills
  • Knowledge of financial data modeling
  • Regulatory compliance in fintech
  • Model deployment and MLOps
  • Statistical analysis and mathematics
  • Team leadership and mentoring

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with company matching contributions
  • Generous 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
  • On-site fitness centers, wellness programs, 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

180,000 - 280,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learning and AI model developmentintermediate
  • Python programming expertiseintermediate
  • TensorFlow or PyTorch proficiencyintermediate
  • Data preprocessing and feature engineeringintermediate
  • SQL and big data technologies (e.g., Hadoop, Spark)intermediate
  • Cloud computing (AWS, Azure)intermediate
  • Agile methodologies and Scrumintermediate
  • Version control with Gitintermediate
  • Problem-solving and analytical thinkingintermediate
  • Communication and collaboration skillsintermediate
  • Knowledge of financial data modelingintermediate
  • Regulatory compliance in fintechintermediate
  • Model deployment and MLOpsintermediate
  • Statistical analysis and mathematicsintermediate
  • Team leadership and mentoringintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 5+ years of professional software engineering experience with a focus on AI/ML technologies (experience)
  • Proficiency in Python, Java, or Scala for developing scalable AI/ML models (experience)
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn (experience)
  • Strong understanding of data structures, algorithms, and software design principles (experience)
  • Demonstrated ability to work in agile environments and collaborate with cross-functional teams (experience)
  • Knowledge of financial services regulations and data privacy standards (e.g., GDPR, SOX) (experience)

Preferred Qualifications

  • Advanced degree in AI, Machine Learning, or Data Science (experience)
  • Experience in financial services, particularly in risk modeling, fraud detection, or algorithmic trading (experience)
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for ML deployments (experience)
  • Certifications in AI/ML (e.g., Google Professional Machine Learning Engineer) (experience)
  • Prior contributions to open-source AI/ML projects or publications in relevant conferences (experience)

Responsibilities

  • Design, develop, and deploy AI/ML models to solve complex problems in financial services, such as predictive analytics for credit risk or anomaly detection in transactions
  • Collaborate with agile teams to integrate AI/ML solutions into JP Morgan Chase's core banking platforms and trading systems
  • Conduct data analysis and preprocessing to ensure high-quality inputs for machine learning pipelines
  • Optimize and scale ML models for production environments, focusing on performance, reliability, and cost-efficiency
  • Participate in code reviews, testing, and debugging to maintain robust software standards
  • Stay abreast of emerging AI/ML trends and apply them to enhance JP Morgan's technological capabilities
  • Work with stakeholders to define requirements and translate business needs into technical AI solutions
  • Ensure compliance with regulatory requirements in all AI/ML implementations within the financial sector
  • Mentor junior engineers and contribute to knowledge sharing within the team
  • Monitor and maintain deployed models, performing retraining and updates as needed

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 company matching contributions
  • general: Generous 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
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements, including hybrid options in Plano, TX

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JP Morgan Chase logo

Software Engineer III - AI/ML

JP Morgan Chase

Software and Technology Jobs

Software Engineer III - AI/ML

full-timePosted: Dec 9, 2025

Job Description

Software Engineer III - AI/ML

Location: Plano, TX, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of innovation in the financial services industry, leveraging cutting-edge AI and machine learning to drive smarter decisions, enhance customer experiences, and mitigate risks. As a Software Engineer III - AI/ML in our Plano, TX office, you will play a pivotal role in an agile team, developing and implementing advanced AI/ML solutions across critical technical areas. This position involves working on high-impact projects such as fraud detection algorithms, personalized financial advisory tools, and predictive models for market trends, all while ensuring seamless integration with our global banking infrastructure. You will collaborate with data scientists, product managers, and compliance experts to deliver scalable, secure, and efficient technologies that support JP Morgan's mission to empower clients worldwide. Your day-to-day responsibilities will include architecting ML pipelines, experimenting with state-of-the-art models, and optimizing them for production deployment in cloud environments. You will analyze vast datasets from financial transactions, market feeds, and customer interactions to build robust AI systems that comply with stringent regulatory standards like those from the SEC and FDIC. As part of our dynamic team, you will participate in agile sprints, conduct thorough testing, and iterate based on real-world feedback, contributing to the evolution of JP Morgan's AI-driven platforms that handle trillions in assets daily. We value engineers who are passionate about innovation and thrive in a collaborative, fast-paced setting. This role offers the opportunity to grow your expertise in AI/ML while making a tangible impact on the financial landscape. Join JP Morgan Chase to advance your career in a company renowned for its technological leadership and commitment to ethical AI practices in finance.

Key Responsibilities

  • Design, develop, and deploy AI/ML models to solve complex problems in financial services, such as predictive analytics for credit risk or anomaly detection in transactions
  • Collaborate with agile teams to integrate AI/ML solutions into JP Morgan Chase's core banking platforms and trading systems
  • Conduct data analysis and preprocessing to ensure high-quality inputs for machine learning pipelines
  • Optimize and scale ML models for production environments, focusing on performance, reliability, and cost-efficiency
  • Participate in code reviews, testing, and debugging to maintain robust software standards
  • Stay abreast of emerging AI/ML trends and apply them to enhance JP Morgan's technological capabilities
  • Work with stakeholders to define requirements and translate business needs into technical AI solutions
  • Ensure compliance with regulatory requirements in all AI/ML implementations within the financial sector
  • Mentor junior engineers and contribute to knowledge sharing within the team
  • Monitor and maintain deployed models, performing retraining and updates as needed

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 5+ years of professional software engineering experience with a focus on AI/ML technologies
  • Proficiency in Python, Java, or Scala for developing scalable AI/ML models
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Strong understanding of data structures, algorithms, and software design principles
  • Demonstrated ability to work in agile environments and collaborate with cross-functional teams
  • Knowledge of financial services regulations and data privacy standards (e.g., GDPR, SOX)

Preferred Qualifications

  • Advanced degree in AI, Machine Learning, or Data Science
  • Experience in financial services, particularly in risk modeling, fraud detection, or algorithmic trading
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for ML deployments
  • Certifications in AI/ML (e.g., Google Professional Machine Learning Engineer)
  • Prior contributions to open-source AI/ML projects or publications in relevant conferences

Required Skills

  • Machine Learning and AI model development
  • Python programming expertise
  • TensorFlow or PyTorch proficiency
  • Data preprocessing and feature engineering
  • SQL and big data technologies (e.g., Hadoop, Spark)
  • Cloud computing (AWS, Azure)
  • Agile methodologies and Scrum
  • Version control with Git
  • Problem-solving and analytical thinking
  • Communication and collaboration skills
  • Knowledge of financial data modeling
  • Regulatory compliance in fintech
  • Model deployment and MLOps
  • Statistical analysis and mathematics
  • Team leadership and mentoring

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with company matching contributions
  • Generous 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
  • On-site fitness centers, wellness programs, 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

180,000 - 280,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learning and AI model developmentintermediate
  • Python programming expertiseintermediate
  • TensorFlow or PyTorch proficiencyintermediate
  • Data preprocessing and feature engineeringintermediate
  • SQL and big data technologies (e.g., Hadoop, Spark)intermediate
  • Cloud computing (AWS, Azure)intermediate
  • Agile methodologies and Scrumintermediate
  • Version control with Gitintermediate
  • Problem-solving and analytical thinkingintermediate
  • Communication and collaboration skillsintermediate
  • Knowledge of financial data modelingintermediate
  • Regulatory compliance in fintechintermediate
  • Model deployment and MLOpsintermediate
  • Statistical analysis and mathematicsintermediate
  • Team leadership and mentoringintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 5+ years of professional software engineering experience with a focus on AI/ML technologies (experience)
  • Proficiency in Python, Java, or Scala for developing scalable AI/ML models (experience)
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn (experience)
  • Strong understanding of data structures, algorithms, and software design principles (experience)
  • Demonstrated ability to work in agile environments and collaborate with cross-functional teams (experience)
  • Knowledge of financial services regulations and data privacy standards (e.g., GDPR, SOX) (experience)

Preferred Qualifications

  • Advanced degree in AI, Machine Learning, or Data Science (experience)
  • Experience in financial services, particularly in risk modeling, fraud detection, or algorithmic trading (experience)
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for ML deployments (experience)
  • Certifications in AI/ML (e.g., Google Professional Machine Learning Engineer) (experience)
  • Prior contributions to open-source AI/ML projects or publications in relevant conferences (experience)

Responsibilities

  • Design, develop, and deploy AI/ML models to solve complex problems in financial services, such as predictive analytics for credit risk or anomaly detection in transactions
  • Collaborate with agile teams to integrate AI/ML solutions into JP Morgan Chase's core banking platforms and trading systems
  • Conduct data analysis and preprocessing to ensure high-quality inputs for machine learning pipelines
  • Optimize and scale ML models for production environments, focusing on performance, reliability, and cost-efficiency
  • Participate in code reviews, testing, and debugging to maintain robust software standards
  • Stay abreast of emerging AI/ML trends and apply them to enhance JP Morgan's technological capabilities
  • Work with stakeholders to define requirements and translate business needs into technical AI solutions
  • Ensure compliance with regulatory requirements in all AI/ML implementations within the financial sector
  • Mentor junior engineers and contribute to knowledge sharing within the team
  • Monitor and maintain deployed models, performing retraining and updates as needed

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 company matching contributions
  • general: Generous 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
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements, including hybrid options in Plano, TX

Target Your Resume for "Software Engineer III - AI/ML" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Software Engineer III - AI/ML. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
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Check Your ATS Score for "Software Engineer III - AI/ML" , 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 Software Engineer III - AI/ML @ JP Morgan Chase.

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~2 Minutes
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Related Books and Jobs

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