Sr Lead Software Engineer(AI, Data Cloud)
JPMorgan Chase1 day ago
Base Salary
$176k - $260k/yr
Responsibilities
- Serve as a hands-on technical leader writing primarily Python and owning delivery from design through production operations.
- Architect and develop platform components for data transformation, feature management, orchestration, ML workflows, and model serving.
- Build agentic AI capabilities with production-grade evaluation, monitoring, and feedback loops.
- Develop reusable APIs, SDKs, and reference implementations for consistent platform adoption.
- Ensure reliability, scalability, performance, and cost efficiency through SLOs, monitoring, incident response, root-cause analysis, and continuous improvement.
- Automate infrastructure provisioning, configuration, and CI/CD pipelines using Infrastructure as Code.
- Establish validation and quality practices for enterprise-authorized AI-assisted engineering tools.
- Produce architecture artifacts, mentor engineers, conduct design reviews, and contribute to engineering communities of practice.
Requirements
- Formal software engineering training or certification and 5+ years of applied experience.
- Experience with system design, application development, testing, distributed systems, platform services, and operational stability.
- Strong hands-on Python experience building and maintaining APIs and SDKs, including leading design and code reviews.
- Experience with GitHub Copilot or Claude Code and with establishing correctness, performance, and security validation practices.
- Experience delivering generative AI platforms involving LLM orchestration, agentic AI frameworks, evaluation, and monitoring.
- Practical experience with AWS, containerized platforms such as EKS or ECS, and Terraform or equivalent Infrastructure as Code.
- Required experience building and operating data and ML workloads on Databricks, including pipelines, notebooks or jobs, Delta or feature datasets, and ML workflow integration.
- Knowledge of the software development life cycle, agile delivery, CI/CD, modern engineering quality controls, and stakeholder communication.
- Preferred experience with ML platform integration, context engineering, MCP-style tool or function integration, Snowflake, CloudWatch, Dynatrace, Datadog, and AWS certifications.
Benefits
- Competitive total rewards and benefits package, including healthcare coverage, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Eligible roles may include commission-based pay or discretionary incentive compensation; compensation details are provided during the hiring process.
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.