Lead Software Engineer - AI/ML Developer Lead
JPMorgan ChaseResponsibilities
- Designs, develops, codes, debugs, and troubleshoots secure, stable, and scalable software components and machine learning platforms.
- Develops high-quality production code and reviews and debugs code written by other engineers.
- Leads adoption of enterprise-authorized AI-assisted engineering tools for code review, refactoring, testing, troubleshooting, and incident analysis.
- Establishes standards for validating AI-assisted outputs for correctness, performance, security, and responsible use.
- Coaches engineers on secure, compliant AI-assisted development practices, including data sensitivity and secure input/output handling.
- Identifies and automates remediation of recurring issues to improve application and system stability.
- Leads evaluation sessions with vendors, startups, and internal teams to assess architectures, technical capabilities, and fit with existing systems.
- Analyzes large and diverse data sets to identify problems and support secure and stable application development.
- Considers upstream and downstream system dependencies and technical implications when delivering solutions.
Requirements
- Formal training or certification in software engineering concepts and at least 5 years of applied experience.
- Hands-on experience delivering system design, application development, testing, and operational stability.
- Experience building, deploying, and maintaining machine learning platforms or infrastructure.
- Proficiency in Python and one or more ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with data processing frameworks and tools such as Spark, Pandas, and SQL.
- Practical experience with cloud-based ML platforms such as AWS SageMaker, GCP AI Platform, or Azure ML, or with on-premises ML infrastructure.
- Experience leading the effective use of approved AI-assisted software development tools and setting team expectations for validating AI outputs.
- Strong understanding of responsible AI use in engineering workflows, secure handling of data and inputs/outputs, and resiliency and security expectations.
- Proficiency across the Software Development Life Cycle and practical cloud-native experience.
- Advanced understanding of application resiliency, security, and software delivery practices.
- In-depth knowledge of the financial services industry and its IT systems.
- Preferred experience with Databricks, Snowflake, Snorkel AI, Docker, Kubernetes, Airflow, Terraform, CloudFormation, feature stores, model registries, ML metadata management, RESTful APIs, and microservices architectures.
Benefits
- Competitive total rewards and benefits package, with eligibility-based health care coverage, retirement savings, backup childcare, tuition reimbursement, mental health support, financial coaching, and on-site health and wellness centers.
- Eligible roles may receive commission-based pay or discretionary incentive compensation in cash or forfeitable equity.
- Equal opportunity employer offering reasonable accommodations for religious practices, mental health needs, and physical disabilities.
Tech Stack
Categories
About JPMorgan Chase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services. Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.