Senior Lead Software Engineer
JPMorgan Chase18 hours ago
Base Salary
$176k - $260k/yr
Responsibilities
- Lead end-to-end delivery of agentic AI and large language model-powered use cases from problem framing and technical design through production deployment and monitoring.
- Own reusable platform services and components that enable teams to build, evaluate, and operate AI agents safely at scale.
- Set engineering standards through hands-on system design, code review, mentorship, and improvements to reliability, maintainability, and developer experience.
- Build and operate evaluation, testing, tracing, metrics, logging, and analytics capabilities to improve solution quality.
- Implement safety, governance, access-control, and audit-ready operational practices for enterprise AI systems.
- Partner with product managers and stakeholders on roadmaps, success metrics, prioritization, and measurable business outcomes.
- Coordinate with engineering, data, security, and risk partners to deliver secure, stable, and scalable solutions.
- Create technical documentation, reference implementations, and enablement content.
Requirements
- Formal training or certification in applied artificial intelligence and machine learning concepts.
- At least 5 years of applied experience.
- Advanced Python proficiency and strong software engineering fundamentals, including testing, design patterns, version control, and code review.
- Hands-on experience building, evaluating, and deploying machine learning or large language model-enabled systems in production.
- Experience with prompt engineering, retrieval-augmented generation, evaluation methods, and quality measurement.
- Experience designing and operating reliable services, including incident response readiness, performance tuning, and operational stability for data-intensive systems.
- Ability to lead technical decisions and deliver outcomes amid ambiguity while balancing speed, risk, and maintainability.
- Strong communication skills for explaining technical trade-offs to technical and non-technical stakeholders.
- Preferred experience with LangGraph, LlamaIndex, Google ADK, custom agent orchestration, LLM evaluation tooling, Docker, Kubernetes, vector databases, embedding pipelines, graph-based memory, Amazon Web Services, Databricks, and enterprise AI governance.
Benefits
- Competitive total rewards package and benefits eligibility based on role and location.
- Comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Eligible roles may include commission-based pay or discretionary incentive compensation.
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.