Lead Software Engineer - Python - GenAI
JPMorgan Chase18 hours ago
Responsibilities
- Architect and implement resilient, scalable, fault-tolerant, low-latency services and drive target-state architecture.
- Design and deploy enterprise-integrated services meeting functional, performance, scalability, security, governance, and auditability requirements.
- Lead and mentor the development team, manage multiple deliverables, and strengthen stakeholder relationships.
- Collaborate with LOB users, subject-matter experts, architects, DBAs, and system administrators on solution design, enhancements, and issue resolution.
- Build ML pipelines and platform capabilities for fraud detection and risk assessment, including feature-store patterns and delivery pipelines.
- Productionalize data-science models with validation readiness and quality controls.
- Drive team adoption of authorized AI-assisted engineering practices and establish standards for validating AI-generated outputs.
- Build agentic AI services with tool integration, orchestration, state management, monitoring, and audit-ready traceability.
- Define production guardrails and evaluation approaches for agentic AI quality, safety, latency, and cost.
- Establish monitoring and alerting for performance, scalability, availability, and reliability.
Requirements
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Hands-on experience with system design, application development, testing, and operational stability.
- Deep distributed-systems engineering expertise with primarily Python and modern microservices, plus Java experience.
- Strong Python experience in AI/ML engineering, automation, model operationalization, and agentic AI services.
- Experience with tool integration, monitoring, telemetry, governance, service-oriented or microservices architecture, and messaging platforms such as Kafka or MQ.
- Experience developing in Linux environments and building, deploying, and operating production services on Kubernetes.
- Experience with backend infrastructure patterns such as load balancing and autoscaling, NoSQL databases such as Cassandra, and observability tools such as ELK or Splunk.
- Strong SDLC knowledge covering application resiliency, security, testing, operational stability, and delivery automation.
- Experience with MLOps, feature engineering, model hosting or operationalization, AWS or hybrid on-premises and cloud environments, and LLM-driven agents.
- Demonstrated ability to lead responsible adoption of AI-assisted software development tools and coach engineers on secure, compliant use.
- Strong communication skills and ability to influence senior technology and business stakeholders.
- AWS and AI certifications or working knowledge are preferred.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skill set, and location, plus possible incentive compensation for eligible roles.
- Comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Equal opportunity employer with reasonable accommodation support and a commitment to diversity and inclusion.
Tech Stack
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.