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Sr Lead Software Engineer - Prompt Engineering Delivery Lead

JP Morgan Chase

Software and Technology Jobs

Sr Lead Software Engineer - Prompt Engineering Delivery Lead

full-timePosted: Sep 30, 2025

Job Description

Sr Lead Software Engineer - Prompt Engineering Delivery Lead

Location: Chicago, IL, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence to revolutionize financial services, and we're seeking a Sr Lead Software Engineer - Prompt Engineering Delivery Lead to drive this innovation in our Chicago office. In this pivotal role, you will lead the development and deployment of advanced prompt engineering techniques for large language models, enabling transformative applications in areas such as personalized client advisory, real-time risk assessment, and automated compliance reporting. As a key member of our Software Engineering team, you will tackle diverse challenges across multiple technologies, ensuring our AI solutions deliver significant business impact while adhering to the highest standards of security and regulatory compliance in the global banking industry. Your expertise will help shape how JP Morgan Chase harnesses generative AI to enhance operational efficiency and client experiences in a rapidly evolving fintech landscape. Reporting to the Head of AI Engineering, you will spearhead cross-functional teams to architect and optimize AI pipelines that integrate seamlessly with our core banking systems. This includes crafting precise prompts to elicit accurate, context-aware responses from LLMs tailored to financial scenarios, such as fraud detection in transaction processing or generating insights from vast market data sets. You will collaborate closely with data scientists, compliance experts, and business leaders to align technical deliverables with strategic objectives, mitigating risks like model hallucinations or data biases that could impact financial decisions. By fostering innovation within an agile environment, you will contribute to JP Morgan's commitment to responsible AI, ensuring all solutions uphold ethical standards and regulatory requirements like those from the SEC and FDIC. This role offers the opportunity to work on cutting-edge projects that span cloud-native architectures, machine learning operations (MLOps), and enterprise-scale deployments, all while benefiting from JP Morgan Chase's world-class resources and collaborative culture. If you are passionate about AI's potential in finance and thrive in a dynamic, high-impact setting, join us to help build the future of banking at one of the world's leading financial institutions.

Key Responsibilities

  • Lead the design, development, and optimization of prompt engineering strategies for generative AI models to enhance financial applications
  • Collaborate with product managers, data scientists, and business stakeholders to translate complex financial requirements into AI solutions
  • Oversee the delivery of AI-powered tools for areas like fraud detection, personalized banking, and market analysis
  • Ensure AI systems comply with JP Morgan's stringent regulatory standards and ethical guidelines
  • Mentor junior engineers and foster a culture of innovation within the software engineering team
  • Drive integration of LLMs with existing JP Morgan platforms, including cloud-based infrastructures
  • Conduct performance tuning and A/B testing of prompts to maximize model accuracy and efficiency
  • Identify and mitigate risks associated with AI deployment in high-volume financial transactions
  • Contribute to strategic roadmaps for AI adoption across JP Morgan's global operations
  • Stay abreast of emerging AI trends and recommend technologies to maintain competitive edge in fintech

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 10+ years of experience in software engineering, with at least 5 years focused on AI/ML or prompt engineering
  • Proven track record leading cross-functional teams in delivering AI-driven solutions in a financial services environment
  • Deep expertise in large language models (LLMs) and generative AI technologies
  • Strong understanding of financial regulations, data privacy (e.g., GDPR, CCPA), and risk management in banking
  • Experience with agile methodologies and DevOps practices in enterprise settings
  • Excellent problem-solving skills and ability to handle complex, high-stakes projects

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline
  • Prior experience at a major financial institution like JP Morgan Chase or similar
  • Certifications in AI ethics, prompt engineering, or cloud platforms (e.g., AWS, Azure)
  • Background in developing AI applications for trading, risk assessment, or customer service in finance
  • Familiarity with JP Morgan's internal tools and frameworks for secure AI deployment

Required Skills

  • Prompt engineering and fine-tuning of LLMs (e.g., GPT, BERT)
  • Proficiency in Python, Java, or Scala for AI development
  • Experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face
  • Knowledge of cloud platforms (AWS, GCP, Azure) for scalable AI deployments
  • Strong understanding of natural language processing (NLP) and machine learning algorithms
  • Financial domain expertise in areas like algorithmic trading or compliance
  • Agile and Scrum methodologies for team leadership
  • Data security and encryption practices for sensitive financial data
  • Problem-solving and analytical thinking in complex environments
  • Communication and stakeholder management skills
  • Version control with Git and CI/CD pipelines
  • Experience with vector databases and retrieval-augmented generation (RAG)
  • Ethical AI principles and bias mitigation techniques
  • Project management tools like Jira or Confluence

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, including tuition reimbursement and leadership training
  • Employee stock purchase plan and financial wellness programs
  • On-site fitness centers, wellness stipends, and mental health support
  • Flexible work arrangements, including hybrid options in Chicago

JP Morgan Chase is an equal opportunity employer.

Locations

  • Chicago, 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

  • Prompt engineering and fine-tuning of LLMs (e.g., GPT, BERT)intermediate
  • Proficiency in Python, Java, or Scala for AI developmentintermediate
  • Experience with AI frameworks like TensorFlow, PyTorch, or Hugging Faceintermediate
  • Knowledge of cloud platforms (AWS, GCP, Azure) for scalable AI deploymentsintermediate
  • Strong understanding of natural language processing (NLP) and machine learning algorithmsintermediate
  • Financial domain expertise in areas like algorithmic trading or complianceintermediate
  • Agile and Scrum methodologies for team leadershipintermediate
  • Data security and encryption practices for sensitive financial dataintermediate
  • Problem-solving and analytical thinking in complex environmentsintermediate
  • Communication and stakeholder management skillsintermediate
  • Version control with Git and CI/CD pipelinesintermediate
  • Experience with vector databases and retrieval-augmented generation (RAG)intermediate
  • Ethical AI principles and bias mitigation techniquesintermediate
  • Project management tools like Jira or Confluenceintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 10+ years of experience in software engineering, with at least 5 years focused on AI/ML or prompt engineering (experience)
  • Proven track record leading cross-functional teams in delivering AI-driven solutions in a financial services environment (experience)
  • Deep expertise in large language models (LLMs) and generative AI technologies (experience)
  • Strong understanding of financial regulations, data privacy (e.g., GDPR, CCPA), and risk management in banking (experience)
  • Experience with agile methodologies and DevOps practices in enterprise settings (experience)
  • Excellent problem-solving skills and ability to handle complex, high-stakes projects (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline (experience)
  • Prior experience at a major financial institution like JP Morgan Chase or similar (experience)
  • Certifications in AI ethics, prompt engineering, or cloud platforms (e.g., AWS, Azure) (experience)
  • Background in developing AI applications for trading, risk assessment, or customer service in finance (experience)
  • Familiarity with JP Morgan's internal tools and frameworks for secure AI deployment (experience)

Responsibilities

  • Lead the design, development, and optimization of prompt engineering strategies for generative AI models to enhance financial applications
  • Collaborate with product managers, data scientists, and business stakeholders to translate complex financial requirements into AI solutions
  • Oversee the delivery of AI-powered tools for areas like fraud detection, personalized banking, and market analysis
  • Ensure AI systems comply with JP Morgan's stringent regulatory standards and ethical guidelines
  • Mentor junior engineers and foster a culture of innovation within the software engineering team
  • Drive integration of LLMs with existing JP Morgan platforms, including cloud-based infrastructures
  • Conduct performance tuning and A/B testing of prompts to maximize model accuracy and efficiency
  • Identify and mitigate risks associated with AI deployment in high-volume financial transactions
  • Contribute to strategic roadmaps for AI adoption across JP Morgan's global operations
  • Stay abreast of emerging AI trends and recommend technologies to maintain competitive edge in fintech

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, including tuition reimbursement and leadership training
  • general: Employee stock purchase plan and financial wellness programs
  • general: On-site fitness centers, wellness stipends, and mental health support
  • general: Flexible work arrangements, including hybrid options in Chicago

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JP Morgan Chase logo

Sr Lead Software Engineer - Prompt Engineering Delivery Lead

JP Morgan Chase

Software and Technology Jobs

Sr Lead Software Engineer - Prompt Engineering Delivery Lead

full-timePosted: Sep 30, 2025

Job Description

Sr Lead Software Engineer - Prompt Engineering Delivery Lead

Location: Chicago, IL, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence to revolutionize financial services, and we're seeking a Sr Lead Software Engineer - Prompt Engineering Delivery Lead to drive this innovation in our Chicago office. In this pivotal role, you will lead the development and deployment of advanced prompt engineering techniques for large language models, enabling transformative applications in areas such as personalized client advisory, real-time risk assessment, and automated compliance reporting. As a key member of our Software Engineering team, you will tackle diverse challenges across multiple technologies, ensuring our AI solutions deliver significant business impact while adhering to the highest standards of security and regulatory compliance in the global banking industry. Your expertise will help shape how JP Morgan Chase harnesses generative AI to enhance operational efficiency and client experiences in a rapidly evolving fintech landscape. Reporting to the Head of AI Engineering, you will spearhead cross-functional teams to architect and optimize AI pipelines that integrate seamlessly with our core banking systems. This includes crafting precise prompts to elicit accurate, context-aware responses from LLMs tailored to financial scenarios, such as fraud detection in transaction processing or generating insights from vast market data sets. You will collaborate closely with data scientists, compliance experts, and business leaders to align technical deliverables with strategic objectives, mitigating risks like model hallucinations or data biases that could impact financial decisions. By fostering innovation within an agile environment, you will contribute to JP Morgan's commitment to responsible AI, ensuring all solutions uphold ethical standards and regulatory requirements like those from the SEC and FDIC. This role offers the opportunity to work on cutting-edge projects that span cloud-native architectures, machine learning operations (MLOps), and enterprise-scale deployments, all while benefiting from JP Morgan Chase's world-class resources and collaborative culture. If you are passionate about AI's potential in finance and thrive in a dynamic, high-impact setting, join us to help build the future of banking at one of the world's leading financial institutions.

Key Responsibilities

  • Lead the design, development, and optimization of prompt engineering strategies for generative AI models to enhance financial applications
  • Collaborate with product managers, data scientists, and business stakeholders to translate complex financial requirements into AI solutions
  • Oversee the delivery of AI-powered tools for areas like fraud detection, personalized banking, and market analysis
  • Ensure AI systems comply with JP Morgan's stringent regulatory standards and ethical guidelines
  • Mentor junior engineers and foster a culture of innovation within the software engineering team
  • Drive integration of LLMs with existing JP Morgan platforms, including cloud-based infrastructures
  • Conduct performance tuning and A/B testing of prompts to maximize model accuracy and efficiency
  • Identify and mitigate risks associated with AI deployment in high-volume financial transactions
  • Contribute to strategic roadmaps for AI adoption across JP Morgan's global operations
  • Stay abreast of emerging AI trends and recommend technologies to maintain competitive edge in fintech

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 10+ years of experience in software engineering, with at least 5 years focused on AI/ML or prompt engineering
  • Proven track record leading cross-functional teams in delivering AI-driven solutions in a financial services environment
  • Deep expertise in large language models (LLMs) and generative AI technologies
  • Strong understanding of financial regulations, data privacy (e.g., GDPR, CCPA), and risk management in banking
  • Experience with agile methodologies and DevOps practices in enterprise settings
  • Excellent problem-solving skills and ability to handle complex, high-stakes projects

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline
  • Prior experience at a major financial institution like JP Morgan Chase or similar
  • Certifications in AI ethics, prompt engineering, or cloud platforms (e.g., AWS, Azure)
  • Background in developing AI applications for trading, risk assessment, or customer service in finance
  • Familiarity with JP Morgan's internal tools and frameworks for secure AI deployment

Required Skills

  • Prompt engineering and fine-tuning of LLMs (e.g., GPT, BERT)
  • Proficiency in Python, Java, or Scala for AI development
  • Experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face
  • Knowledge of cloud platforms (AWS, GCP, Azure) for scalable AI deployments
  • Strong understanding of natural language processing (NLP) and machine learning algorithms
  • Financial domain expertise in areas like algorithmic trading or compliance
  • Agile and Scrum methodologies for team leadership
  • Data security and encryption practices for sensitive financial data
  • Problem-solving and analytical thinking in complex environments
  • Communication and stakeholder management skills
  • Version control with Git and CI/CD pipelines
  • Experience with vector databases and retrieval-augmented generation (RAG)
  • Ethical AI principles and bias mitigation techniques
  • Project management tools like Jira or Confluence

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, including tuition reimbursement and leadership training
  • Employee stock purchase plan and financial wellness programs
  • On-site fitness centers, wellness stipends, and mental health support
  • Flexible work arrangements, including hybrid options in Chicago

JP Morgan Chase is an equal opportunity employer.

Locations

  • Chicago, 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

  • Prompt engineering and fine-tuning of LLMs (e.g., GPT, BERT)intermediate
  • Proficiency in Python, Java, or Scala for AI developmentintermediate
  • Experience with AI frameworks like TensorFlow, PyTorch, or Hugging Faceintermediate
  • Knowledge of cloud platforms (AWS, GCP, Azure) for scalable AI deploymentsintermediate
  • Strong understanding of natural language processing (NLP) and machine learning algorithmsintermediate
  • Financial domain expertise in areas like algorithmic trading or complianceintermediate
  • Agile and Scrum methodologies for team leadershipintermediate
  • Data security and encryption practices for sensitive financial dataintermediate
  • Problem-solving and analytical thinking in complex environmentsintermediate
  • Communication and stakeholder management skillsintermediate
  • Version control with Git and CI/CD pipelinesintermediate
  • Experience with vector databases and retrieval-augmented generation (RAG)intermediate
  • Ethical AI principles and bias mitigation techniquesintermediate
  • Project management tools like Jira or Confluenceintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 10+ years of experience in software engineering, with at least 5 years focused on AI/ML or prompt engineering (experience)
  • Proven track record leading cross-functional teams in delivering AI-driven solutions in a financial services environment (experience)
  • Deep expertise in large language models (LLMs) and generative AI technologies (experience)
  • Strong understanding of financial regulations, data privacy (e.g., GDPR, CCPA), and risk management in banking (experience)
  • Experience with agile methodologies and DevOps practices in enterprise settings (experience)
  • Excellent problem-solving skills and ability to handle complex, high-stakes projects (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline (experience)
  • Prior experience at a major financial institution like JP Morgan Chase or similar (experience)
  • Certifications in AI ethics, prompt engineering, or cloud platforms (e.g., AWS, Azure) (experience)
  • Background in developing AI applications for trading, risk assessment, or customer service in finance (experience)
  • Familiarity with JP Morgan's internal tools and frameworks for secure AI deployment (experience)

Responsibilities

  • Lead the design, development, and optimization of prompt engineering strategies for generative AI models to enhance financial applications
  • Collaborate with product managers, data scientists, and business stakeholders to translate complex financial requirements into AI solutions
  • Oversee the delivery of AI-powered tools for areas like fraud detection, personalized banking, and market analysis
  • Ensure AI systems comply with JP Morgan's stringent regulatory standards and ethical guidelines
  • Mentor junior engineers and foster a culture of innovation within the software engineering team
  • Drive integration of LLMs with existing JP Morgan platforms, including cloud-based infrastructures
  • Conduct performance tuning and A/B testing of prompts to maximize model accuracy and efficiency
  • Identify and mitigate risks associated with AI deployment in high-volume financial transactions
  • Contribute to strategic roadmaps for AI adoption across JP Morgan's global operations
  • Stay abreast of emerging AI trends and recommend technologies to maintain competitive edge in fintech

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, including tuition reimbursement and leadership training
  • general: Employee stock purchase plan and financial wellness programs
  • general: On-site fitness centers, wellness stipends, and mental health support
  • general: Flexible work arrangements, including hybrid options in Chicago

Target Your Resume for "Sr Lead Software Engineer - Prompt Engineering Delivery Lead" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Sr Lead Software Engineer - Prompt Engineering Delivery Lead. Takes only 15 seconds!

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

Check Your ATS Score for "Sr Lead Software Engineer - Prompt Engineering Delivery Lead" , 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 Sr Lead Software Engineer - Prompt Engineering Delivery Lead @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.