Applied AI ML Lead
JPMorgan Chase21 hours ago
Base Salary
$171k - $260k/yr
Responsibilities
- Define and drive the roadmap for agent-based platform capabilities based on measurable outcomes, reliability, and usability.
- Lead end-to-end delivery of agent platform components, including software development kits, reference implementations, and integration patterns.
- Align requirements and trade-offs with product, engineering, risk, and control stakeholders and unblock execution.
- Establish quality, performance, monitoring, testing, and incident-readiness standards for agent workloads.
- Drive architecture decisions, scalable designs, and repeatable deployment practices that move experimentation into production.
- Embed governance, privacy, and model risk considerations into platform design and responsible development practices.
- Mentor team members through technical coaching, design reviews, and improvements to engineering practices.
- Communicate technical strategy and progress to senior stakeholders using clear, data-informed recommendations.
Requirements
- Formal training or certification in applied artificial intelligence and machine learning concepts and at least 5 years of applied experience.
- Experience building and operating production software systems that integrate machine learning capabilities.
- Strong programming ability in at least one modern language, such as Python, Java, or Go.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX, along with model lifecycle tooling.
- Experience designing platforms or shared services for multiple teams, including interfaces, documentation, and developer experience.
- Working knowledge of cloud and container orchestration concepts such as Kubernetes, plus performance or reliability engineering fundamentals.
- Ability to lead through influence, drive technical alignment, and deliver outcomes across cross-functional partners.
- Strong problem-solving skills, including clarifying ambiguity, evaluating trade-offs, and making technical decisions.
- Preferred experience with agent-based systems, orchestration patterns, agent development tooling, or evaluation frameworks.
- Preferred experience designing scalable inference or model-serving architectures and optimizing latency, throughput, and cost.
- Familiarity with responsible AI practices, model risk, governance-by-design, and regulated financial services use cases.
- Preferred contributions to widely used open-source software in machine learning or infrastructure ecosystems.
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.