Senior Lead Software Engineer (AI, Data, Cloud)
JPMorgan Chase2 months ago
Base Salary
$176k - $260k/yr
Responsibilities
- Write primarily Python production code and own delivery from design through production operations.
- Lead architecture for ML platform components covering data transformation, feature management, orchestration, and model serving.
- Design and develop agentic AI capabilities with production evaluation, monitoring, and feedback loops.
- Build reusable APIs, SDKs, and reference implementations for platform adoption.
- Partner with data scientists, ML engineers, and product teams to define technical approaches and deliver outcomes.
- Improve platform reliability, scalability, performance, and cost efficiency through monitoring, incident response, and root-cause analysis.
- Automate infrastructure provisioning, configuration, and CI/CD pipelines using Infrastructure as Code.
- Establish validation standards for AI-assisted engineering practices covering correctness, performance, security, and reuse.
- Create architecture and design documentation aligned with enterprise standards.
- Mentor engineers through technical coaching, design reviews, and pairing.
- Participate in software engineering communities of practice and emerging-technology events.
Requirements
- Formal training or certification in software engineering concepts and at least 5 years of applied experience.
- Experience with system design, application development, testing, and operational stability for distributed systems and platform services.
- Strong Python expertise, 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 and with establishing validation and quality practices.
- 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.
- Required experience building and operating Databricks data and ML workloads, including pipelines, notebooks or jobs, Delta or feature datasets, and ML workflow integration.
- Knowledge of the software development life cycle, agile delivery, CI/CD, and modern engineering quality controls.
- Strong communication skills with business-facing and technical stakeholders.
- Preferred: experience integrating data engineering, feature management, and model serving into ML platforms.
- Preferred: knowledge of AI/ML model integration, context engineering, and MCP-style tool or function integration.
- Preferred: exposure to Snowflake, CloudWatch, Dynatrace, or Datadog, and AWS certifications.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skill set, and location; eligible roles may also receive commission 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.
- Equal opportunity employment and reasonable accommodations for religious practices, mental health needs, and physical disabilities.
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.