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Lead Software Engineer - AI ML

JP Morgan Chase

Software and Technology Jobs

Lead Software Engineer - AI ML

full-timePosted: Dec 1, 2025

Job Description

Lead Software Engineer - AI ML

Location: Bengaluru, Karnataka, India

Job Family: Software Engineering

About the Role

At JPMorgan Chase, we are at the forefront of leveraging artificial intelligence and machine learning to revolutionize financial services. As a Lead Software Engineer - AI ML in our Bengaluru technology hub, you will play a pivotal role in developing cutting-edge solutions that drive innovation across trading platforms, risk management systems, and customer-facing applications. Joining an agile team, you will lead the creation of scalable AI/ML models that enhance decision-making, detect anomalies in real-time transactions, and personalize client experiences while ensuring compliance with global financial regulations. This position offers the opportunity to work on high-impact projects that shape the future of banking in a collaborative, dynamic environment. Your responsibilities will span the full lifecycle of AI/ML projects, from ideation and prototyping to deployment and optimization. You will architect robust systems that handle petabyte-scale financial data, integrating advanced techniques like deep learning and natural language processing to solve complex challenges in fraud prevention and predictive analytics. Collaborating with data scientists, product managers, and business stakeholders, you will champion best practices in model governance and ethical AI, aligning with JPMorgan Chase's commitment to responsible innovation. In this leadership role, you will mentor team members, foster a culture of continuous improvement, and contribute to strategic initiatives that position our firm as a leader in fintech. We value engineers who thrive in agile settings and bring a passion for technology to the financial sector. This role demands technical excellence combined with domain expertise to deliver secure, reliable solutions that support our global operations. If you are ready to lead transformative AI/ML efforts at one of the world's largest financial institutions, join us in Bengaluru to make a meaningful impact on millions of customers worldwide.

Key Responsibilities

  • Lead the design, development, and deployment of AI/ML solutions to support critical financial services applications
  • Collaborate with cross-functional agile teams to integrate machine learning models into trading, risk management, and customer analytics platforms
  • Mentor junior engineers and conduct code reviews to ensure high-quality, secure codebases compliant with JPMorgan Chase standards
  • Optimize ML models for performance, scalability, and efficiency in handling large-scale financial datasets
  • Drive innovation in AI technologies to enhance fraud detection, predictive analytics, and personalized banking experiences
  • Ensure adherence to regulatory requirements such as GDPR, SOX, and Basel III in all AI/ML implementations
  • Participate in sprint planning, stand-ups, and retrospectives to deliver solutions on time
  • Troubleshoot and resolve complex technical issues in production AI systems
  • Stay updated on emerging AI/ML trends and evaluate their applicability to JPMorgan's financial products

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 7+ years of experience in software engineering with a focus on AI/ML development
  • Proven track record of leading engineering teams in agile environments
  • Strong understanding of financial services domain, including regulatory compliance and data security
  • Experience with scalable AI/ML systems in production environments
  • Proficiency in Python, Java, or similar programming languages for ML applications

Preferred Qualifications

  • Advanced degree in AI, Machine Learning, or Data Science
  • Experience in financial modeling, risk assessment, or fraud detection using AI/ML
  • Certifications in AWS, Azure, or Google Cloud for ML deployments
  • Prior work at a major financial institution or fintech company

Required Skills

  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Proficiency in Python, Java, and SQL for data processing and model development
  • Experience with cloud platforms such as AWS SageMaker, Azure ML, or Google AI Platform
  • Knowledge of big data technologies including Hadoop, Spark, and Kafka
  • Strong understanding of data privacy, encryption, and secure coding practices in finance
  • Agile methodologies, including Scrum and Kanban
  • Leadership and team management skills
  • Problem-solving and analytical thinking
  • Excellent communication and stakeholder collaboration abilities
  • Familiarity with DevOps tools like Docker, Kubernetes, and CI/CD pipelines
  • Experience in model deployment, monitoring, and MLOps
  • Domain knowledge in financial algorithms, quantitative analysis, and risk modeling
  • Adaptability to fast-paced, innovative environments

Benefits

  • Competitive base salary and performance-based bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Retirement savings plan with generous company matching
  • Paid time off, including vacation, sick leave, and parental leave
  • Professional development programs and tuition reimbursement
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers and wellness initiatives
  • Flexible work arrangements and hybrid work options in Bengaluru

JP Morgan Chase is an equal opportunity employer.

Locations

  • Bengaluru, IN

Salary

Estimated Salary Rangehigh confidence

45,000,000 - 75,000,000 INR / yearly

Source: ai estimated

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

Skills Required

  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learnintermediate
  • Proficiency in Python, Java, and SQL for data processing and model developmentintermediate
  • Experience with cloud platforms such as AWS SageMaker, Azure ML, or Google AI Platformintermediate
  • Knowledge of big data technologies including Hadoop, Spark, and Kafkaintermediate
  • Strong understanding of data privacy, encryption, and secure coding practices in financeintermediate
  • Agile methodologies, including Scrum and Kanbanintermediate
  • Leadership and team management skillsintermediate
  • Problem-solving and analytical thinkingintermediate
  • Excellent communication and stakeholder collaboration abilitiesintermediate
  • Familiarity with DevOps tools like Docker, Kubernetes, and CI/CD pipelinesintermediate
  • Experience in model deployment, monitoring, and MLOpsintermediate
  • Domain knowledge in financial algorithms, quantitative analysis, and risk modelingintermediate
  • Adaptability to fast-paced, innovative environmentsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 7+ years of experience in software engineering with a focus on AI/ML development (experience)
  • Proven track record of leading engineering teams in agile environments (experience)
  • Strong understanding of financial services domain, including regulatory compliance and data security (experience)
  • Experience with scalable AI/ML systems in production environments (experience)
  • Proficiency in Python, Java, or similar programming languages for ML applications (experience)

Preferred Qualifications

  • Advanced degree in AI, Machine Learning, or Data Science (experience)
  • Experience in financial modeling, risk assessment, or fraud detection using AI/ML (experience)
  • Certifications in AWS, Azure, or Google Cloud for ML deployments (experience)
  • Prior work at a major financial institution or fintech company (experience)

Responsibilities

  • Lead the design, development, and deployment of AI/ML solutions to support critical financial services applications
  • Collaborate with cross-functional agile teams to integrate machine learning models into trading, risk management, and customer analytics platforms
  • Mentor junior engineers and conduct code reviews to ensure high-quality, secure codebases compliant with JPMorgan Chase standards
  • Optimize ML models for performance, scalability, and efficiency in handling large-scale financial datasets
  • Drive innovation in AI technologies to enhance fraud detection, predictive analytics, and personalized banking experiences
  • Ensure adherence to regulatory requirements such as GDPR, SOX, and Basel III in all AI/ML implementations
  • Participate in sprint planning, stand-ups, and retrospectives to deliver solutions on time
  • Troubleshoot and resolve complex technical issues in production AI systems
  • Stay updated on emerging AI/ML trends and evaluate their applicability to JPMorgan's financial products

Benefits

  • general: Competitive base salary and performance-based bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick leave, 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 initiatives
  • general: Flexible work arrangements and hybrid work options in Bengaluru

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JP Morgan Chase logo

Lead Software Engineer - AI ML

JP Morgan Chase

Software and Technology Jobs

Lead Software Engineer - AI ML

full-timePosted: Dec 1, 2025

Job Description

Lead Software Engineer - AI ML

Location: Bengaluru, Karnataka, India

Job Family: Software Engineering

About the Role

At JPMorgan Chase, we are at the forefront of leveraging artificial intelligence and machine learning to revolutionize financial services. As a Lead Software Engineer - AI ML in our Bengaluru technology hub, you will play a pivotal role in developing cutting-edge solutions that drive innovation across trading platforms, risk management systems, and customer-facing applications. Joining an agile team, you will lead the creation of scalable AI/ML models that enhance decision-making, detect anomalies in real-time transactions, and personalize client experiences while ensuring compliance with global financial regulations. This position offers the opportunity to work on high-impact projects that shape the future of banking in a collaborative, dynamic environment. Your responsibilities will span the full lifecycle of AI/ML projects, from ideation and prototyping to deployment and optimization. You will architect robust systems that handle petabyte-scale financial data, integrating advanced techniques like deep learning and natural language processing to solve complex challenges in fraud prevention and predictive analytics. Collaborating with data scientists, product managers, and business stakeholders, you will champion best practices in model governance and ethical AI, aligning with JPMorgan Chase's commitment to responsible innovation. In this leadership role, you will mentor team members, foster a culture of continuous improvement, and contribute to strategic initiatives that position our firm as a leader in fintech. We value engineers who thrive in agile settings and bring a passion for technology to the financial sector. This role demands technical excellence combined with domain expertise to deliver secure, reliable solutions that support our global operations. If you are ready to lead transformative AI/ML efforts at one of the world's largest financial institutions, join us in Bengaluru to make a meaningful impact on millions of customers worldwide.

Key Responsibilities

  • Lead the design, development, and deployment of AI/ML solutions to support critical financial services applications
  • Collaborate with cross-functional agile teams to integrate machine learning models into trading, risk management, and customer analytics platforms
  • Mentor junior engineers and conduct code reviews to ensure high-quality, secure codebases compliant with JPMorgan Chase standards
  • Optimize ML models for performance, scalability, and efficiency in handling large-scale financial datasets
  • Drive innovation in AI technologies to enhance fraud detection, predictive analytics, and personalized banking experiences
  • Ensure adherence to regulatory requirements such as GDPR, SOX, and Basel III in all AI/ML implementations
  • Participate in sprint planning, stand-ups, and retrospectives to deliver solutions on time
  • Troubleshoot and resolve complex technical issues in production AI systems
  • Stay updated on emerging AI/ML trends and evaluate their applicability to JPMorgan's financial products

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 7+ years of experience in software engineering with a focus on AI/ML development
  • Proven track record of leading engineering teams in agile environments
  • Strong understanding of financial services domain, including regulatory compliance and data security
  • Experience with scalable AI/ML systems in production environments
  • Proficiency in Python, Java, or similar programming languages for ML applications

Preferred Qualifications

  • Advanced degree in AI, Machine Learning, or Data Science
  • Experience in financial modeling, risk assessment, or fraud detection using AI/ML
  • Certifications in AWS, Azure, or Google Cloud for ML deployments
  • Prior work at a major financial institution or fintech company

Required Skills

  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Proficiency in Python, Java, and SQL for data processing and model development
  • Experience with cloud platforms such as AWS SageMaker, Azure ML, or Google AI Platform
  • Knowledge of big data technologies including Hadoop, Spark, and Kafka
  • Strong understanding of data privacy, encryption, and secure coding practices in finance
  • Agile methodologies, including Scrum and Kanban
  • Leadership and team management skills
  • Problem-solving and analytical thinking
  • Excellent communication and stakeholder collaboration abilities
  • Familiarity with DevOps tools like Docker, Kubernetes, and CI/CD pipelines
  • Experience in model deployment, monitoring, and MLOps
  • Domain knowledge in financial algorithms, quantitative analysis, and risk modeling
  • Adaptability to fast-paced, innovative environments

Benefits

  • Competitive base salary and performance-based bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Retirement savings plan with generous company matching
  • Paid time off, including vacation, sick leave, and parental leave
  • Professional development programs and tuition reimbursement
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers and wellness initiatives
  • Flexible work arrangements and hybrid work options in Bengaluru

JP Morgan Chase is an equal opportunity employer.

Locations

  • Bengaluru, IN

Salary

Estimated Salary Rangehigh confidence

45,000,000 - 75,000,000 INR / yearly

Source: ai estimated

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

Skills Required

  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learnintermediate
  • Proficiency in Python, Java, and SQL for data processing and model developmentintermediate
  • Experience with cloud platforms such as AWS SageMaker, Azure ML, or Google AI Platformintermediate
  • Knowledge of big data technologies including Hadoop, Spark, and Kafkaintermediate
  • Strong understanding of data privacy, encryption, and secure coding practices in financeintermediate
  • Agile methodologies, including Scrum and Kanbanintermediate
  • Leadership and team management skillsintermediate
  • Problem-solving and analytical thinkingintermediate
  • Excellent communication and stakeholder collaboration abilitiesintermediate
  • Familiarity with DevOps tools like Docker, Kubernetes, and CI/CD pipelinesintermediate
  • Experience in model deployment, monitoring, and MLOpsintermediate
  • Domain knowledge in financial algorithms, quantitative analysis, and risk modelingintermediate
  • Adaptability to fast-paced, innovative environmentsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 7+ years of experience in software engineering with a focus on AI/ML development (experience)
  • Proven track record of leading engineering teams in agile environments (experience)
  • Strong understanding of financial services domain, including regulatory compliance and data security (experience)
  • Experience with scalable AI/ML systems in production environments (experience)
  • Proficiency in Python, Java, or similar programming languages for ML applications (experience)

Preferred Qualifications

  • Advanced degree in AI, Machine Learning, or Data Science (experience)
  • Experience in financial modeling, risk assessment, or fraud detection using AI/ML (experience)
  • Certifications in AWS, Azure, or Google Cloud for ML deployments (experience)
  • Prior work at a major financial institution or fintech company (experience)

Responsibilities

  • Lead the design, development, and deployment of AI/ML solutions to support critical financial services applications
  • Collaborate with cross-functional agile teams to integrate machine learning models into trading, risk management, and customer analytics platforms
  • Mentor junior engineers and conduct code reviews to ensure high-quality, secure codebases compliant with JPMorgan Chase standards
  • Optimize ML models for performance, scalability, and efficiency in handling large-scale financial datasets
  • Drive innovation in AI technologies to enhance fraud detection, predictive analytics, and personalized banking experiences
  • Ensure adherence to regulatory requirements such as GDPR, SOX, and Basel III in all AI/ML implementations
  • Participate in sprint planning, stand-ups, and retrospectives to deliver solutions on time
  • Troubleshoot and resolve complex technical issues in production AI systems
  • Stay updated on emerging AI/ML trends and evaluate their applicability to JPMorgan's financial products

Benefits

  • general: Competitive base salary and performance-based bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick leave, 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 initiatives
  • general: Flexible work arrangements and hybrid work options in Bengaluru

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

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

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

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

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.