Lead Applied AI/ML Architect for Autonomous Agents

JPMorgan Chase & Co.; Palo Alto (CA); On-site; USD 190,000 - 270,000; Full time

Job summary

JPMorganChase in Palo Alto seeks an Applied AI and Machine Learning Lead to architect autonomous agent systems that reason, plan, act, and learn to solve bank-wide problems. You will translate business needs into measurable outcomes, partnering with stakeholders to scale reliable AI solutions.

As a senior leader, you will mentor applied AI engineers and researchers, establish rigorous experimentation, and balance performance with security.

Qualifications

• Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience
• Advanced degree (Master’s or Doctorate) in Computer Science, Machine Learning, Statistics, or a related quantitative field
• Demonstrated experience designing experiments and evaluations for machine learning systems, including clear metrics and reproducible results
• Proven track record deploying machine learning applications into production environments with operational excellence (monitoring, reliability, and lifecycle management)
• Strong software engineering skills in modern programming languages and machine learning frameworks, with experience building reusable components
• Experience with distributed computing patterns for training and serving, and with state management for agent workflows
• Ability to lead through influence across cross-functional teams, translating complex technical topics for varied audiences

Responsibilities

• Architect and deliver generative artificial intelligence and agent-based solutions that automate complex operational workflows end-to-end
• Translate priority business problems into research and engineering plans, success metrics, and scalable solution designs
• Build multi-agent systems that collaborate reliably, coordinate tasks, and improve over time through feedback and evaluation
• Design reusable services, libraries, and reference architectures that accelerate adoption across applied AI teams
• Establish rigorous experimentation practices, including offline/online evaluation, ablation testing, and error analysis, to drive measurable improvements
• Mentor and develop applied AI engineers and researchers, fostering a culture of scientific rigor, ownership, and continuous learning
• Partner with stakeholders across business and technology teams to scale solutions responsibly, balancing performance, reliability, and security

Skills

Applied AI

Lead cross-functional teams

Experiment design

Production ML deployment

Cloud platforms

Education

Master’s or Doctorate in CS/ML

Tools

AWS SageMaker

Python

TensorFlow/PyTorch

Job description

JPMorganChase in Palo Alto seeks an Applied AI and Machine Learning Lead to architect autonomous agent systems that reason, plan, act, and learn to solve bank-wide problems. You will translate business needs into measurable outcomes, partnering with stakeholders to scale reliable AI solutions.

As a senior leader, you will mentor applied AI engineers and researchers, establish rigorous experimentation, and balance performance with security.