JP Morgan Chase & Co.

Sr Lead Software Engineer - Java, Python, AI/ML

JP Morgan Chase & Co.$150K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in software engineering concepts and practices
  • Advanced proficiency in Java and/or Python
  • Experience integrating AI/ML techniques such as LLMs and Generative AI
  • Hands-on expertise in system design and operational stability
  • Strong grasp of software engineering best practices and frameworks
  • Experience leading teams in AI-assisted development tools
  • Good understanding of data structures and machine learning frameworks

Responsibilities

  • Provide technical guidance to business and technical teams
  • Develop and review secure, high-quality production code
  • Lead a team of software engineers and AI/ML practitioners
  • Drive adoption of AI-assisted engineering practices
  • Architect and develop secure software systems using Java/Python
  • Design and implement AI/ML solutions and algorithms
  • Drive decision-making that influences application functionality

Benefits

  • Joining an agile team focused on innovative technology solutions
  • Opportunity to work with advanced AI technologies
  • Collaborative work environment with global reach
  • Engagement in meaningful projects impacting business outcomes
  • Access to resources for professional development in software engineering and AI
Full Job Description
JOB DESCRIPTION
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. 

As a Senior Lead Software Engineer at JPMorganChase within the the Commercial and Investment Bank's Engineering and Architecture Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will be a part of the AI For Technology team that works closely with other tech teams across the line of business to apply AI technique to Software Engineering, applying AI to the trade and accelerating them through the journey. This is grounded in Software Engineering and applying AI solutions instead of building AI models. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. 

Job responsibilities
  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Lead a local team of software engineers and applied AI/ML practitioners, driving accountability and engagement within a global organization.
  • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
  • Architect, design, and develop secure, high-quality production software systems using Java or Python, integrating AI/ML techniques such as LLMs, Generative AI, and coding assistants
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
  • Design experiments, implement algorithms, validate results, and productionize performant, scalable, and trustworthy AI/ML solutions.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Drives decisions that influence the product design, application functionality, and technical operations and processes
Required, qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Auto-GPT)
  • Advanced proficiency in Java or Python for software system development; strong grasp of software engineering best practices, system design, application development, testing, and operational stability
  • Experience integrating AI/ML techniques into software systems, including familiarity with LLMs, Generative AI, NLP, RAG, AI evals and coding assistants
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in Java and/or Python programming languages
  • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
  • Good understanding of data structures, algorithms, and practical machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn)
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Ability to tackle design and functionality problems independently with little to no oversight

     

 
Preferred qualifications, capabilities, and skills
  • Experience working at code level with advanced AI/ML business applications (e.g., LLMs, Generative AI, NLP)
  • AWS Certifications (Solution Architect Associate or Professional) are advantageous
  • In-depth knowledge of the financial services industry and their IT systems

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

High-Demand Positions

Among the myriad of roles, certain positions stand out for their attractive compensation packages and career advancement prospects. Notably, high-paying jobs at JP Morgan Chase & Co. include Relationship Manager, Branch Manager, and Software Engineer. These roles are critical to the firm's operations and offer lucrative opportunities for those with the requisite expertise.

Navigating the Job Market at JP Morgan Chase & Co.

Leveraging Job Portals and Job Alerts

For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ

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