Applied AI and ML Lead: GenAI & LLMs in Production

JPMorgan Chase; Plano (TX); Hybrid; USD 171,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. invites an Applied AI ML Lead to guide the development and deployment of innovative AI and machine learning solutions within the Chief Data & Analytics Office.

You will collaborate with cross-functional teams to deliver production-ready AI systems, drive adoption of modern ML practices, and ensure responsible AI governance. With 8+ years in applied ML and expertise in Python, PyTorch/TensorFlow, and cloud platforms, you will mentor engineers, champion scalable architecture,

Qualifications

• Master’s or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field.
• Minimum 8 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models.
• At least 5 years of Python programming; experience with PyTorch or TensorFlow.
• Proven experience designing, training, and deploying large-scale ML/AI models in production.
• Deep understanding of prompt engineering, agentic workflows, and orchestration frameworks.
• Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm).
• Solid grasp of MLOps tools and practices (MLflow, model monitoring, CI/CD for ML).
• Strong communication skills and leadership in cross-functional teams.

Responsibilities

• Lead hands-on design, development, and deployment of advanced AI, GenAI, and LLM solutions.
• Serve as SME on a wide range of ML techniques and optimizations.
• Collaborate with product, engineering, and business teams to deliver production-ready AI systems.
• Conduct experiments, analyze results, and tune models for performance.
• Own end-to-end Python code development for POC and production.
• Integrate generative AI within the ML platform using state-of-the-art methods.
• Drive adoption of modern ML infrastructure, tools, and best practices.
• Optimize system accuracy and performance by resolving inefficiencies.
• Communicate technical concepts to diverse audiences.
• Ensure responsible AI practices, model governance, and regulatory compliance.
• Mentor AI engineers and scientists.

Skills

Python (5+ yrs)

PyTorch

TensorFlow

Cloud platforms (AWS/Azure/GCP)

Kubernetes

Ray

Slurm

MLflow

CI/CD for ML

MLOps

Prompt engineering

Leadership

Communication

Education

Master’s or PhD in Computer Science, Engineering, Mathematics

Tools

AWS

Azure

GCP

Kubernetes

Ray

Slurm

MLflow

Job description

JPMorgan Chase & Co. invites an Applied AI ML Lead to guide the development and deployment of innovative AI and machine learning solutions within the Chief Data & Analytics Office.

You will collaborate with cross-functional teams to deliver production-ready AI systems, drive adoption of modern ML practices, and ensure responsible AI governance. With 8+ years in applied ML and expertise in Python, PyTorch/TensorFlow, and cloud platforms, you will mentor engineers, champion scalable architecture,