Applied AI ML Director - AI Agents and Agentic Systems
JPMorgan Chase5 hours ago
Base Salary
$223k - $325k/yr
Responsibilities
- Architect and implement production-ready Agent SDK capabilities and reference implementations.
- Build specialized agents and reusable components while improving reliability, observability, and evaluation quality.
- Translate agentic and generative AI techniques into scalable platform features for enterprise teams.
- Design evaluations covering agent quality, robustness, latency, and cost trade-offs.
- Develop and optimize model-serving and workflow patterns, including retrieval-augmented generation and tool-using agents.
- Partner with product, engineering, data, platform, and application stakeholders to align capabilities with success metrics.
- Drive technical decisions, clarify ambiguity, evaluate trade-offs, and produce recommendations and designs.
- Improve platform performance and efficiency through profiling, bottleneck analysis, and system-level optimization.
- Establish practical engineering standards for reliable and responsible AI systems.
Requirements
- Formal training or certification in applied artificial intelligence and machine learning concepts.
- 10+ years of applied experience and hands-on experience building large-scale machine learning systems and platform services used by multiple teams.
- Strong software engineering skills with end-to-end ownership from design through implementation, testing, and operation.
- Extensive experience with machine learning frameworks such as PyTorch or TensorFlow.
- Hands-on experience designing agentic and generative AI systems, including tool use, planning, retrieval-augmented generation, and evaluation methods.
- Strong experience with cloud and Kubernetes ecosystems and production workloads.
- Experience with high-performance machine learning systems and hardware acceleration considerations such as GPU optimization.
- Ability to influence across teams without formal authority through technical leadership, communication, and execution.
- Preferred: contributions to open-source machine learning frameworks or platform tooling.
- Preferred: Kubernetes deployment automation such as Helm or Kubernetes extensions such as operators.
- Preferred: experience with JAX, scikit-learn, or additional machine learning ecosystem tools.
- Preferred: advanced degree in Computer Science, Machine Learning, or a related field.
- Preferred: experience establishing engineering standards for responsible and reliable AI systems, including testing and measurement practices.
Benefits
- Competitive total rewards package with benefits determined by eligibility.
- Benefits include comprehensive health care coverage, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- The position is subject to Section 19 of the Federal Deposit Insurance Act, with employment contingent on review of criminal conviction history.
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.