Lead Software Engineer - Python/Java AI
JPMorgan Chase2 days ago
Responsibilities
- Drive adoption of enterprise-authorized AI-assisted engineering practices and establish standards for validating AI-generated outputs.
- Apply SDLC tooling, automation, and AI-assisted development capabilities to improve engineering outcomes.
- Architect and implement resilient, scalable, fault-tolerant, low-latency services and target-state architecture.
- Design and deploy enterprise-integrated services meeting functional, performance, security, governance, auditability, and scalability requirements.
- Lead and mentor development teams while managing deliverables across business groups and strengthening stakeholder relationships.
- Collaborate with business users, subject matter experts, architects, DBAs, and system administrators to design solutions and resolve issues.
- Build ML pipelines and platform capabilities for fraud detection and risk assessment, including feature-store patterns and delivery pipelines.
- Productionalize models created by data scientists and establish validation and quality controls before live use.
- Create monitoring and alerting for ML platform performance, scalability, availability, and reliability.
- Build agentic AI services for engineering and model-operations workflows with tool integration, orchestration, state management, and traceability.
- Define production guardrails and evaluation approaches for agentic AI quality, safety, latency, and cost.
Requirements
- Formal training or certification in software engineering concepts.
- 10+ years of recent hands-on software development experience in large-scale distributed systems, primarily using Python, Java, J2EE, and modern Java/Spring Boot microservices.
- 3+ years of experience developing in Linux environments.
- Experience leading approved AI-assisted software development practices and validating AI outputs for correctness, performance, and security.
- Knowledge of responsible AI use, data sensitivity, secure input and output handling, resiliency, security, and compliant engineering adoption.
- Strong experience with REST APIs and service-oriented or microservices architecture.
- Strong Kubernetes experience building, deploying, and operating production services.
- Messaging experience with Kafka, MQ, or similar platforms.
- Experience with backend infrastructure patterns such as load balancing and autoscaling.
- Experience with log analytics and observability tools such as ELK and Splunk.
- Exposure to AI/ML platforms, MLOps, feature engineering, model hosting or operationalization, and AWS or hybrid on-premises/cloud environments.
- Strong communication skills and ability to influence senior technology and business stakeholders.
- Knowledge of SDLC practices, CI/CD, application resiliency, security, testing, and operational stability.
- Preferred experience building and operating LLM-driven agents with tool integration, monitoring, telemetry, governance, and audit considerations.
- Preferred experience with NoSQL databases such as Cassandra.
- Preferred experience implementing BERT and Transformer models.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skills, and location; eligible roles may also receive incentive compensation.
- 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 offering reasonable accommodations and diversity and inclusion programs.
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.