Jobs · Engineering · New Jersey

Senior Lead Software Engineer - Python/AWS/AI/LLM

JPMorganChase · Jersey City, NJ · 2 mo ago
On-siteEngineeringFull-time

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products within the Asset Wealth Management team at JPMorganChase.

Responsibilities

  • Regularly provide technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Develop secure and high-quality production code, and review and debug code written by others
  • Drive decisions that influence product design, application functionality, and technical operations and processes
  • Serve as a function-wide subject matter expert in one or more areas of focus
  • Actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
  • Collaborate with firmwide AI/ML teams, Business and Product Partners, peers in geographically dispersed teams, and colleagues across JPMorgan AWM's lines of business and functions to drive alignment, accelerate adoption of common AI capabilities, and deliver impactful solutions
  • Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions
  • Design and implement highly scalable and reliable data processing pipelines and deploy model inference services
  • Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant technology and business impact; deploy solutions into public cloud infrastructure
  • Drive 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
  • Apply 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

Requirements

  • Formal training or certification on software engineering concepts and 5+ years of applied experience
  • 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
  • Advanced in one or more programming languages
  • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Experience in using LLMs (OpenAI, Anthropic, or other models) to solve business problems, including full workflow toolset such as tracing, evaluations, and guardrails
  • Strong programming skills in Python
  • Deep knowledge in Data Structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics
  • Demonstrated ability to perform independent end-to-end solution design, with attention on modern architecture, scalability, and security
  • Expert knowledge of AWS cloud computing platforms
  • Knowledge of data management, including data model design, as well as real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis)
  • Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions
  • Excellent communication skills and ability to communicate with senior technical and business partners

Preferred Qualifications

  • Expert knowledge of one of the cloud computing platforms: Amazon Web Services (AWS), Azure, Kubernetes
  • Experience with emerging technologies

Benefits

  • Competitive total rewards package including base salary determined based on the role, experience, skill set, and location
  • Commission-based pay and/or discretionary incentive compensation for eligible roles, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions
  • Comprehensive health care coverage
  • On-site health and wellness centers
  • Retirement savings plan
  • Backup childcare
  • Tuition reimbursement
  • Mental health support
  • Financial coaching

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses, and many of the world's most prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years, and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management.

About The Team

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors, and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families, and foundations take a more intentional approach to their wealth or finances to better define, focus, and realize their goals.

Our Asset and Wealth Management division is driven by innovators who create technology solutions that make us work more efficiently and help our businesses grow. It's our mission to efficiently take care of our clients' wealth, helping them get and remain properly invested. Our team of agile technologists thrives in a cloud-native environment that values continuous learning using a data-centric approach in developing innovative technology solutions.

Similar jobs