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Sr Lead Software Engineer - Agentic AI solutions

JP Morgan Chase

Software and Technology Jobs

Sr Lead Software Engineer - Agentic AI solutions

full-timePosted: Sep 18, 2025

Job Description

Sr Lead Software Engineer - Agentic AI solutions

Location: OH, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of leveraging cutting-edge technology to drive innovation in the financial services industry. As a Sr Lead Software Engineer - Agentic AI solutions, you will play a pivotal role in building and enhancing market-leading AI systems that boost engineer's efficiency. This position is based in Columbus, OH, and focuses on creating autonomous AI agents that streamline software development processes, from code generation to automated testing and deployment, all while adhering to the stringent security and compliance standards of the banking sector. Your work will directly impact how our engineering teams deliver robust, scalable solutions for global financial operations, ensuring faster time-to-market for critical applications like trading platforms and risk management tools. In this leadership role, you will architect agentic AI frameworks that integrate large language models with multi-agent orchestration to automate complex engineering tasks. Collaborating with elite teams across JP Morgan Chase, you will tackle challenges such as optimizing AI for low-latency financial transactions and ensuring ethical AI deployment in a regulated environment. Responsibilities include prototyping innovative solutions, leading code reviews, and driving the adoption of AI tools that enhance productivity without compromising data privacy or regulatory compliance. This is an opportunity to influence the future of AI in fintech, where your expertise will contribute to safer, more efficient financial services for millions of clients worldwide. We value engineers who thrive in dynamic, collaborative settings and are passionate about pushing the boundaries of AI technology. Joining JP Morgan Chase means access to world-class resources, mentorship from industry leaders, and the chance to work on projects that redefine banking innovation. If you have a strong background in AI engineering and a commitment to excellence, this role offers unparalleled growth in a supportive, high-impact environment.

Key Responsibilities

  • Design and develop advanced agentic AI solutions to enhance engineer's efficiency in software development workflows at JP Morgan Chase
  • Lead the architecture and implementation of AI agents that automate code review, testing, and deployment processes in financial applications
  • Collaborate with cross-functional teams including data scientists, product managers, and compliance experts to ensure AI solutions meet regulatory standards
  • Optimize AI models for performance, scalability, and security within JP Morgan's cloud infrastructure
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards
  • Integrate agentic AI with existing JP Morgan systems for real-time financial data processing and risk assessment
  • Conduct research on emerging AI technologies and prototype innovative solutions for internal efficiency gains
  • Monitor and troubleshoot AI systems to ensure reliability in high-stakes financial environments
  • Document technical specifications and contribute to knowledge sharing across the engineering community

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 8+ years of software engineering experience with a focus on AI/ML systems
  • Proven track record in developing and deploying AI solutions in a financial services environment
  • Strong understanding of agentic AI architectures, including autonomous agents and multi-agent systems
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, with emphasis on secure financial data handling
  • Demonstrated ability to lead cross-functional teams in agile environments
  • Knowledge of regulatory compliance standards like GDPR, SOX, and financial industry regulations

Preferred Qualifications

  • PhD in AI, Machine Learning, or related discipline
  • Experience with JP Morgan's internal AI frameworks or similar enterprise tools
  • Prior work on AI-driven efficiency tools for engineers in fintech
  • Certifications in AI ethics or secure AI development
  • Contributions to open-source AI projects relevant to agentic systems

Required Skills

  • Proficiency in Python, Java, or Scala for AI development
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or LangChain
  • Knowledge of agentic AI concepts, including reinforcement learning and LLM-based agents
  • Experience with DevOps tools such as Docker, Kubernetes, and CI/CD pipelines
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities
  • Understanding of financial data security and encryption protocols
  • Familiarity with big data technologies like Spark or Hadoop
  • Skills in API design and microservices architecture
  • Agile methodologies and scrum experience
  • Version control with Git and collaborative coding practices
  • Basic knowledge of financial instruments and risk modeling
  • Adaptability to fast-paced, regulated environments
  • Leadership and mentoring capabilities

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
  • Hybrid work model with flexibility for work-life balance
  • On-site fitness centers, wellness programs, and mental health support

JP Morgan Chase is an equal opportunity employer.

Locations

  • OH, 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 developmentintermediate
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or LangChainintermediate
  • Knowledge of agentic AI concepts, including reinforcement learning and LLM-based agentsintermediate
  • Experience with DevOps tools such as Docker, Kubernetes, and CI/CD pipelinesintermediate
  • Strong problem-solving and analytical skillsintermediate
  • Excellent communication and collaboration abilitiesintermediate
  • Understanding of financial data security and encryption protocolsintermediate
  • Familiarity with big data technologies like Spark or Hadoopintermediate
  • Skills in API design and microservices architectureintermediate
  • Agile methodologies and scrum experienceintermediate
  • Version control with Git and collaborative coding practicesintermediate
  • Basic knowledge of financial instruments and risk modelingintermediate
  • Adaptability to fast-paced, regulated environmentsintermediate
  • Leadership and mentoring capabilitiesintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 8+ years of software engineering experience with a focus on AI/ML systems (experience)
  • Proven track record in developing and deploying AI solutions in a financial services environment (experience)
  • Strong understanding of agentic AI architectures, including autonomous agents and multi-agent systems (experience)
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, with emphasis on secure financial data handling (experience)
  • Demonstrated ability to lead cross-functional teams in agile environments (experience)
  • Knowledge of regulatory compliance standards like GDPR, SOX, and financial industry regulations (experience)

Preferred Qualifications

  • PhD in AI, Machine Learning, or related discipline (experience)
  • Experience with JP Morgan's internal AI frameworks or similar enterprise tools (experience)
  • Prior work on AI-driven efficiency tools for engineers in fintech (experience)
  • Certifications in AI ethics or secure AI development (experience)
  • Contributions to open-source AI projects relevant to agentic systems (experience)

Responsibilities

  • Design and develop advanced agentic AI solutions to enhance engineer's efficiency in software development workflows at JP Morgan Chase
  • Lead the architecture and implementation of AI agents that automate code review, testing, and deployment processes in financial applications
  • Collaborate with cross-functional teams including data scientists, product managers, and compliance experts to ensure AI solutions meet regulatory standards
  • Optimize AI models for performance, scalability, and security within JP Morgan's cloud infrastructure
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards
  • Integrate agentic AI with existing JP Morgan systems for real-time financial data processing and risk assessment
  • Conduct research on emerging AI technologies and prototype innovative solutions for internal efficiency gains
  • Monitor and troubleshoot AI systems to ensure reliability in high-stakes financial environments
  • Document technical specifications and contribute to knowledge sharing across the engineering community

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: Hybrid work model with flexibility for work-life balance
  • general: On-site fitness centers, wellness programs, and mental health support

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JP Morgan Chase logo

Sr Lead Software Engineer - Agentic AI solutions

JP Morgan Chase

Software and Technology Jobs

Sr Lead Software Engineer - Agentic AI solutions

full-timePosted: Sep 18, 2025

Job Description

Sr Lead Software Engineer - Agentic AI solutions

Location: OH, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of leveraging cutting-edge technology to drive innovation in the financial services industry. As a Sr Lead Software Engineer - Agentic AI solutions, you will play a pivotal role in building and enhancing market-leading AI systems that boost engineer's efficiency. This position is based in Columbus, OH, and focuses on creating autonomous AI agents that streamline software development processes, from code generation to automated testing and deployment, all while adhering to the stringent security and compliance standards of the banking sector. Your work will directly impact how our engineering teams deliver robust, scalable solutions for global financial operations, ensuring faster time-to-market for critical applications like trading platforms and risk management tools. In this leadership role, you will architect agentic AI frameworks that integrate large language models with multi-agent orchestration to automate complex engineering tasks. Collaborating with elite teams across JP Morgan Chase, you will tackle challenges such as optimizing AI for low-latency financial transactions and ensuring ethical AI deployment in a regulated environment. Responsibilities include prototyping innovative solutions, leading code reviews, and driving the adoption of AI tools that enhance productivity without compromising data privacy or regulatory compliance. This is an opportunity to influence the future of AI in fintech, where your expertise will contribute to safer, more efficient financial services for millions of clients worldwide. We value engineers who thrive in dynamic, collaborative settings and are passionate about pushing the boundaries of AI technology. Joining JP Morgan Chase means access to world-class resources, mentorship from industry leaders, and the chance to work on projects that redefine banking innovation. If you have a strong background in AI engineering and a commitment to excellence, this role offers unparalleled growth in a supportive, high-impact environment.

Key Responsibilities

  • Design and develop advanced agentic AI solutions to enhance engineer's efficiency in software development workflows at JP Morgan Chase
  • Lead the architecture and implementation of AI agents that automate code review, testing, and deployment processes in financial applications
  • Collaborate with cross-functional teams including data scientists, product managers, and compliance experts to ensure AI solutions meet regulatory standards
  • Optimize AI models for performance, scalability, and security within JP Morgan's cloud infrastructure
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards
  • Integrate agentic AI with existing JP Morgan systems for real-time financial data processing and risk assessment
  • Conduct research on emerging AI technologies and prototype innovative solutions for internal efficiency gains
  • Monitor and troubleshoot AI systems to ensure reliability in high-stakes financial environments
  • Document technical specifications and contribute to knowledge sharing across the engineering community

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 8+ years of software engineering experience with a focus on AI/ML systems
  • Proven track record in developing and deploying AI solutions in a financial services environment
  • Strong understanding of agentic AI architectures, including autonomous agents and multi-agent systems
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, with emphasis on secure financial data handling
  • Demonstrated ability to lead cross-functional teams in agile environments
  • Knowledge of regulatory compliance standards like GDPR, SOX, and financial industry regulations

Preferred Qualifications

  • PhD in AI, Machine Learning, or related discipline
  • Experience with JP Morgan's internal AI frameworks or similar enterprise tools
  • Prior work on AI-driven efficiency tools for engineers in fintech
  • Certifications in AI ethics or secure AI development
  • Contributions to open-source AI projects relevant to agentic systems

Required Skills

  • Proficiency in Python, Java, or Scala for AI development
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or LangChain
  • Knowledge of agentic AI concepts, including reinforcement learning and LLM-based agents
  • Experience with DevOps tools such as Docker, Kubernetes, and CI/CD pipelines
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities
  • Understanding of financial data security and encryption protocols
  • Familiarity with big data technologies like Spark or Hadoop
  • Skills in API design and microservices architecture
  • Agile methodologies and scrum experience
  • Version control with Git and collaborative coding practices
  • Basic knowledge of financial instruments and risk modeling
  • Adaptability to fast-paced, regulated environments
  • Leadership and mentoring capabilities

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
  • Hybrid work model with flexibility for work-life balance
  • On-site fitness centers, wellness programs, and mental health support

JP Morgan Chase is an equal opportunity employer.

Locations

  • OH, 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 developmentintermediate
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or LangChainintermediate
  • Knowledge of agentic AI concepts, including reinforcement learning and LLM-based agentsintermediate
  • Experience with DevOps tools such as Docker, Kubernetes, and CI/CD pipelinesintermediate
  • Strong problem-solving and analytical skillsintermediate
  • Excellent communication and collaboration abilitiesintermediate
  • Understanding of financial data security and encryption protocolsintermediate
  • Familiarity with big data technologies like Spark or Hadoopintermediate
  • Skills in API design and microservices architectureintermediate
  • Agile methodologies and scrum experienceintermediate
  • Version control with Git and collaborative coding practicesintermediate
  • Basic knowledge of financial instruments and risk modelingintermediate
  • Adaptability to fast-paced, regulated environmentsintermediate
  • Leadership and mentoring capabilitiesintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 8+ years of software engineering experience with a focus on AI/ML systems (experience)
  • Proven track record in developing and deploying AI solutions in a financial services environment (experience)
  • Strong understanding of agentic AI architectures, including autonomous agents and multi-agent systems (experience)
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, with emphasis on secure financial data handling (experience)
  • Demonstrated ability to lead cross-functional teams in agile environments (experience)
  • Knowledge of regulatory compliance standards like GDPR, SOX, and financial industry regulations (experience)

Preferred Qualifications

  • PhD in AI, Machine Learning, or related discipline (experience)
  • Experience with JP Morgan's internal AI frameworks or similar enterprise tools (experience)
  • Prior work on AI-driven efficiency tools for engineers in fintech (experience)
  • Certifications in AI ethics or secure AI development (experience)
  • Contributions to open-source AI projects relevant to agentic systems (experience)

Responsibilities

  • Design and develop advanced agentic AI solutions to enhance engineer's efficiency in software development workflows at JP Morgan Chase
  • Lead the architecture and implementation of AI agents that automate code review, testing, and deployment processes in financial applications
  • Collaborate with cross-functional teams including data scientists, product managers, and compliance experts to ensure AI solutions meet regulatory standards
  • Optimize AI models for performance, scalability, and security within JP Morgan's cloud infrastructure
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards
  • Integrate agentic AI with existing JP Morgan systems for real-time financial data processing and risk assessment
  • Conduct research on emerging AI technologies and prototype innovative solutions for internal efficiency gains
  • Monitor and troubleshoot AI systems to ensure reliability in high-stakes financial environments
  • Document technical specifications and contribute to knowledge sharing across the engineering community

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: Hybrid work model with flexibility for work-life balance
  • general: On-site fitness centers, wellness programs, and mental health support

Target Your Resume for "Sr Lead Software Engineer - Agentic AI solutions" , JP Morgan Chase

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

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

Check Your ATS Score for "Sr Lead Software Engineer - Agentic AI solutions" , 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 - Agentic AI solutions @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.