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Senior Lead Software Engineer - AI Solutions Software Engineer

JP Morgan Chase

Software and Technology Jobs

Senior Lead Software Engineer - AI Solutions Software Engineer

full-timePosted: Oct 13, 2025

Job Description

Senior Lead Software Engineer - AI Solutions Software Engineer

Location: LONDON, LONDON, United Kingdom

Job Family: Software Engineering

About the Role

At JPMorgan Chase, we are at the forefront of leveraging artificial intelligence to revolutionize financial services, and we're seeking a Senior Lead Software Engineer - AI Solutions to join our dynamic team in London. In this pivotal role, you will lead the creation of cutting-edge AI products that enhance our banking operations, from predictive analytics for market insights to intelligent automation for client interactions. Collaborating with world-class experts in technology and finance, you will drive innovation that shapes the future of secure, efficient, and personalized financial solutions. This position offers the opportunity to work on high-impact projects that directly influence global markets and client trust at one of the world's leading financial institutions. As a senior leader, you will architect scalable AI systems tailored to the complexities of the financial industry, ensuring robustness against regulatory scrutiny and high-stakes transactions. Your responsibilities will include overseeing the end-to-end development lifecycle, from ideation and prototyping to deployment and optimization, while integrating AI with JPMorgan's vast data ecosystems. You will mentor a team of talented engineers, promote best practices in AI governance, and partner with stakeholders across risk, compliance, and product teams to deliver solutions that mitigate fraud, optimize trading algorithms, and personalize wealth management services. This role demands a blend of technical depth and strategic vision to navigate the evolving landscape of fintech AI. JPMorgan Chase values innovation, integrity, and inclusion, providing a supportive environment where your contributions can thrive. Join us to not only build transformative AI technologies but also to advance your career in a firm committed to ethical AI practices and sustainable growth in the financial sector. With access to state-of-the-art resources and a global network, this position is ideal for a seasoned engineer passionate about making a meaningful impact in finance.

Key Responsibilities

  • Lead the design, development, and deployment of innovative AI products and solutions for JPMorgan Chase's financial services platforms
  • Collaborate with cross-functional teams, including data scientists, product managers, and compliance experts, to integrate AI into core banking systems
  • Mentor and guide junior engineers, fostering a culture of innovation and technical excellence within the team
  • Conduct code reviews, ensure adherence to best practices, and optimize AI models for performance and scalability in high-volume financial transactions
  • Identify and mitigate risks associated with AI implementations, ensuring compliance with regulatory standards in the financial sector
  • Prototype and iterate on AI-driven features, such as predictive analytics for market trends or automated customer service tools
  • Stay abreast of emerging AI technologies and evaluate their applicability to JPMorgan's business challenges
  • Contribute to the strategic roadmap for AI solutions, aligning with JPMorgan's goals in digital transformation and client experience enhancement
  • Debug and resolve complex issues in production AI systems, minimizing downtime in mission-critical financial applications

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 applications
  • Proven track record of leading engineering teams in developing scalable AI solutions in a financial services environment
  • Strong understanding of AI/ML frameworks and their application in regulated industries like banking
  • Experience with cloud platforms such as AWS, Azure, or GCP for deploying AI models
  • Knowledge of data privacy regulations (e.g., GDPR, CCPA) and secure coding practices in finance
  • Excellent problem-solving abilities and experience with agile methodologies

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Data Science
  • Prior experience at a major financial institution, such as developing AI for risk management or fraud detection
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Professional Machine Learning Engineer)
  • Experience with natural language processing (NLP) or computer vision in financial contexts
  • Familiarity with JPMorgan Chase's technology stack or similar enterprise environments

Required Skills

  • Proficiency in Python, Java, or Scala for AI development
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or scikit-learn
  • Experience with big data technologies such as Hadoop, Spark, or Kafka
  • Strong knowledge of SQL and NoSQL databases for handling financial datasets
  • Familiarity with DevOps tools like Docker, Kubernetes, and CI/CD pipelines
  • Understanding of AI ethics, bias mitigation, and explainable AI in regulated environments
  • Excellent communication and collaboration skills for cross-team partnerships
  • Analytical mindset for solving complex financial problems with AI
  • Leadership and mentoring abilities to guide engineering teams
  • Adaptability to fast-paced, innovative projects in fintech
  • Knowledge of financial concepts like risk modeling, algorithmic trading, or fraud detection
  • Proficiency in cloud-based AI services (e.g., AWS SageMaker, Azure ML)
  • Problem-solving skills for optimizing AI performance under constraints
  • Attention to detail in ensuring secure and compliant code

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Generous 401(k) matching and pension plan contributions
  • Paid time off, including vacation, sick leave, and parental leave
  • Professional development opportunities, such as tuition reimbursement and access to JPMorgan's internal training programs
  • Employee stock purchase plan and other financial wellness benefits
  • Hybrid work model with flexibility for work-life balance in London
  • Wellness programs, including gym memberships and mental health support

JP Morgan Chase is an equal opportunity employer.

Locations

  • LONDON, GB

Salary

Estimated Salary Rangehigh confidence

140,000 - 220,000 GBP / 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 developmentintermediate
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or scikit-learnintermediate
  • Experience with big data technologies such as Hadoop, Spark, or Kafkaintermediate
  • Strong knowledge of SQL and NoSQL databases for handling financial datasetsintermediate
  • Familiarity with DevOps tools like Docker, Kubernetes, and CI/CD pipelinesintermediate
  • Understanding of AI ethics, bias mitigation, and explainable AI in regulated environmentsintermediate
  • Excellent communication and collaboration skills for cross-team partnershipsintermediate
  • Analytical mindset for solving complex financial problems with AIintermediate
  • Leadership and mentoring abilities to guide engineering teamsintermediate
  • Adaptability to fast-paced, innovative projects in fintechintermediate
  • Knowledge of financial concepts like risk modeling, algorithmic trading, or fraud detectionintermediate
  • Proficiency in cloud-based AI services (e.g., AWS SageMaker, Azure ML)intermediate
  • Problem-solving skills for optimizing AI performance under constraintsintermediate
  • Attention to detail in ensuring secure and compliant codeintermediate

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 applications (experience)
  • Proven track record of leading engineering teams in developing scalable AI solutions in a financial services environment (experience)
  • Strong understanding of AI/ML frameworks and their application in regulated industries like banking (experience)
  • Experience with cloud platforms such as AWS, Azure, or GCP for deploying AI models (experience)
  • Knowledge of data privacy regulations (e.g., GDPR, CCPA) and secure coding practices in finance (experience)
  • Excellent problem-solving abilities and experience with agile methodologies (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Data Science (experience)
  • Prior experience at a major financial institution, such as developing AI for risk management or fraud detection (experience)
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Professional Machine Learning Engineer) (experience)
  • Experience with natural language processing (NLP) or computer vision in financial contexts (experience)
  • Familiarity with JPMorgan Chase's technology stack or similar enterprise environments (experience)

Responsibilities

  • Lead the design, development, and deployment of innovative AI products and solutions for JPMorgan Chase's financial services platforms
  • Collaborate with cross-functional teams, including data scientists, product managers, and compliance experts, to integrate AI into core banking systems
  • Mentor and guide junior engineers, fostering a culture of innovation and technical excellence within the team
  • Conduct code reviews, ensure adherence to best practices, and optimize AI models for performance and scalability in high-volume financial transactions
  • Identify and mitigate risks associated with AI implementations, ensuring compliance with regulatory standards in the financial sector
  • Prototype and iterate on AI-driven features, such as predictive analytics for market trends or automated customer service tools
  • Stay abreast of emerging AI technologies and evaluate their applicability to JPMorgan's business challenges
  • Contribute to the strategic roadmap for AI solutions, aligning with JPMorgan's goals in digital transformation and client experience enhancement
  • Debug and resolve complex issues in production AI systems, minimizing downtime in mission-critical financial applications

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Generous 401(k) matching and pension plan contributions
  • general: Paid time off, including vacation, sick leave, and parental leave
  • general: Professional development opportunities, such as tuition reimbursement and access to JPMorgan's internal training programs
  • general: Employee stock purchase plan and other financial wellness benefits
  • general: Hybrid work model with flexibility for work-life balance in London
  • general: Wellness programs, including gym memberships and mental health support

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JP Morgan Chase logo

Senior Lead Software Engineer - AI Solutions Software Engineer

JP Morgan Chase

Software and Technology Jobs

Senior Lead Software Engineer - AI Solutions Software Engineer

full-timePosted: Oct 13, 2025

Job Description

Senior Lead Software Engineer - AI Solutions Software Engineer

Location: LONDON, LONDON, United Kingdom

Job Family: Software Engineering

About the Role

At JPMorgan Chase, we are at the forefront of leveraging artificial intelligence to revolutionize financial services, and we're seeking a Senior Lead Software Engineer - AI Solutions to join our dynamic team in London. In this pivotal role, you will lead the creation of cutting-edge AI products that enhance our banking operations, from predictive analytics for market insights to intelligent automation for client interactions. Collaborating with world-class experts in technology and finance, you will drive innovation that shapes the future of secure, efficient, and personalized financial solutions. This position offers the opportunity to work on high-impact projects that directly influence global markets and client trust at one of the world's leading financial institutions. As a senior leader, you will architect scalable AI systems tailored to the complexities of the financial industry, ensuring robustness against regulatory scrutiny and high-stakes transactions. Your responsibilities will include overseeing the end-to-end development lifecycle, from ideation and prototyping to deployment and optimization, while integrating AI with JPMorgan's vast data ecosystems. You will mentor a team of talented engineers, promote best practices in AI governance, and partner with stakeholders across risk, compliance, and product teams to deliver solutions that mitigate fraud, optimize trading algorithms, and personalize wealth management services. This role demands a blend of technical depth and strategic vision to navigate the evolving landscape of fintech AI. JPMorgan Chase values innovation, integrity, and inclusion, providing a supportive environment where your contributions can thrive. Join us to not only build transformative AI technologies but also to advance your career in a firm committed to ethical AI practices and sustainable growth in the financial sector. With access to state-of-the-art resources and a global network, this position is ideal for a seasoned engineer passionate about making a meaningful impact in finance.

Key Responsibilities

  • Lead the design, development, and deployment of innovative AI products and solutions for JPMorgan Chase's financial services platforms
  • Collaborate with cross-functional teams, including data scientists, product managers, and compliance experts, to integrate AI into core banking systems
  • Mentor and guide junior engineers, fostering a culture of innovation and technical excellence within the team
  • Conduct code reviews, ensure adherence to best practices, and optimize AI models for performance and scalability in high-volume financial transactions
  • Identify and mitigate risks associated with AI implementations, ensuring compliance with regulatory standards in the financial sector
  • Prototype and iterate on AI-driven features, such as predictive analytics for market trends or automated customer service tools
  • Stay abreast of emerging AI technologies and evaluate their applicability to JPMorgan's business challenges
  • Contribute to the strategic roadmap for AI solutions, aligning with JPMorgan's goals in digital transformation and client experience enhancement
  • Debug and resolve complex issues in production AI systems, minimizing downtime in mission-critical financial applications

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 applications
  • Proven track record of leading engineering teams in developing scalable AI solutions in a financial services environment
  • Strong understanding of AI/ML frameworks and their application in regulated industries like banking
  • Experience with cloud platforms such as AWS, Azure, or GCP for deploying AI models
  • Knowledge of data privacy regulations (e.g., GDPR, CCPA) and secure coding practices in finance
  • Excellent problem-solving abilities and experience with agile methodologies

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Data Science
  • Prior experience at a major financial institution, such as developing AI for risk management or fraud detection
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Professional Machine Learning Engineer)
  • Experience with natural language processing (NLP) or computer vision in financial contexts
  • Familiarity with JPMorgan Chase's technology stack or similar enterprise environments

Required Skills

  • Proficiency in Python, Java, or Scala for AI development
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or scikit-learn
  • Experience with big data technologies such as Hadoop, Spark, or Kafka
  • Strong knowledge of SQL and NoSQL databases for handling financial datasets
  • Familiarity with DevOps tools like Docker, Kubernetes, and CI/CD pipelines
  • Understanding of AI ethics, bias mitigation, and explainable AI in regulated environments
  • Excellent communication and collaboration skills for cross-team partnerships
  • Analytical mindset for solving complex financial problems with AI
  • Leadership and mentoring abilities to guide engineering teams
  • Adaptability to fast-paced, innovative projects in fintech
  • Knowledge of financial concepts like risk modeling, algorithmic trading, or fraud detection
  • Proficiency in cloud-based AI services (e.g., AWS SageMaker, Azure ML)
  • Problem-solving skills for optimizing AI performance under constraints
  • Attention to detail in ensuring secure and compliant code

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Generous 401(k) matching and pension plan contributions
  • Paid time off, including vacation, sick leave, and parental leave
  • Professional development opportunities, such as tuition reimbursement and access to JPMorgan's internal training programs
  • Employee stock purchase plan and other financial wellness benefits
  • Hybrid work model with flexibility for work-life balance in London
  • Wellness programs, including gym memberships and mental health support

JP Morgan Chase is an equal opportunity employer.

Locations

  • LONDON, GB

Salary

Estimated Salary Rangehigh confidence

140,000 - 220,000 GBP / 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 developmentintermediate
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or scikit-learnintermediate
  • Experience with big data technologies such as Hadoop, Spark, or Kafkaintermediate
  • Strong knowledge of SQL and NoSQL databases for handling financial datasetsintermediate
  • Familiarity with DevOps tools like Docker, Kubernetes, and CI/CD pipelinesintermediate
  • Understanding of AI ethics, bias mitigation, and explainable AI in regulated environmentsintermediate
  • Excellent communication and collaboration skills for cross-team partnershipsintermediate
  • Analytical mindset for solving complex financial problems with AIintermediate
  • Leadership and mentoring abilities to guide engineering teamsintermediate
  • Adaptability to fast-paced, innovative projects in fintechintermediate
  • Knowledge of financial concepts like risk modeling, algorithmic trading, or fraud detectionintermediate
  • Proficiency in cloud-based AI services (e.g., AWS SageMaker, Azure ML)intermediate
  • Problem-solving skills for optimizing AI performance under constraintsintermediate
  • Attention to detail in ensuring secure and compliant codeintermediate

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 applications (experience)
  • Proven track record of leading engineering teams in developing scalable AI solutions in a financial services environment (experience)
  • Strong understanding of AI/ML frameworks and their application in regulated industries like banking (experience)
  • Experience with cloud platforms such as AWS, Azure, or GCP for deploying AI models (experience)
  • Knowledge of data privacy regulations (e.g., GDPR, CCPA) and secure coding practices in finance (experience)
  • Excellent problem-solving abilities and experience with agile methodologies (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Data Science (experience)
  • Prior experience at a major financial institution, such as developing AI for risk management or fraud detection (experience)
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Professional Machine Learning Engineer) (experience)
  • Experience with natural language processing (NLP) or computer vision in financial contexts (experience)
  • Familiarity with JPMorgan Chase's technology stack or similar enterprise environments (experience)

Responsibilities

  • Lead the design, development, and deployment of innovative AI products and solutions for JPMorgan Chase's financial services platforms
  • Collaborate with cross-functional teams, including data scientists, product managers, and compliance experts, to integrate AI into core banking systems
  • Mentor and guide junior engineers, fostering a culture of innovation and technical excellence within the team
  • Conduct code reviews, ensure adherence to best practices, and optimize AI models for performance and scalability in high-volume financial transactions
  • Identify and mitigate risks associated with AI implementations, ensuring compliance with regulatory standards in the financial sector
  • Prototype and iterate on AI-driven features, such as predictive analytics for market trends or automated customer service tools
  • Stay abreast of emerging AI technologies and evaluate their applicability to JPMorgan's business challenges
  • Contribute to the strategic roadmap for AI solutions, aligning with JPMorgan's goals in digital transformation and client experience enhancement
  • Debug and resolve complex issues in production AI systems, minimizing downtime in mission-critical financial applications

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Generous 401(k) matching and pension plan contributions
  • general: Paid time off, including vacation, sick leave, and parental leave
  • general: Professional development opportunities, such as tuition reimbursement and access to JPMorgan's internal training programs
  • general: Employee stock purchase plan and other financial wellness benefits
  • general: Hybrid work model with flexibility for work-life balance in London
  • general: Wellness programs, including gym memberships and mental health support

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

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

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

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

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.