Senior Lead Software Engineer (AI, Data, Cloud)
JPMorgan Chase7 days ago
Base Salary
$176k - $260k/yr
Responsibilities
- Write production Python and own end-to-end delivery from system design through production operations.
- Lead architecture for ML platform components covering data transformation, feature management, orchestration, and model serving integration.
- Design and develop agentic AI capabilities with production-grade evaluation, monitoring, and feedback loops.
- Build reusable APIs, SDKs, and reference implementations for consistent platform adoption.
- Partner with data scientists, ML engineers, product teams, and technical stakeholders to define solutions and deliver measurable outcomes.
- Ensure reliability, scalability, performance, and cost efficiency through SLOs, monitoring, incident response, root-cause analysis, and continuous improvement.
- Automate infrastructure provisioning, configuration, and deployment pipelines using infrastructure as code.
- Establish validation standards and effective practices for enterprise-authorized AI-assisted engineering tools.
- Create architecture and design artifacts, mentor engineers, conduct reviews, and contribute to engineering communities of practice.
Requirements
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Experience with system design, application development, testing, and operational stability for distributed systems and platform services.
- Strong Python experience, including building and maintaining APIs and SDKs and leading design and code reviews.
- Experience with enterprise-authorized AI-assisted development tools such as GitHub Copilot or Claude Code.
- Experience delivering generative-AI platforms using LLM orchestration and agentic-AI frameworks with production evaluation and monitoring.
- Practical experience with AWS, containerized platforms such as EKS or ECS, and Terraform or equivalent infrastructure-as-code tools.
- 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 lifecycle, CI/CD, agile delivery, and engineering quality controls.
- Strong communication skills with business-facing partners and technical stakeholders.
- Preferred: experience building integrated ML platforms, context engineering, MCP-style tool integration, Snowflake, observability tools such as CloudWatch, Dynatrace, or Datadog, and AWS certifications.
Benefits
- Competitive total rewards and benefits package, with eligible roles potentially receiving commission-based pay or discretionary incentive compensation.
- Comprehensive health care coverage and on-site health and wellness centers.
- Retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
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.