AI ML Engineering Lead, Vice President

Salary: $61,000 - 101,000 per year Requirements:

• We require a masters degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline
• We expect at least 6 years of professional software engineering experience delivering production systems
• We require 4 years of advanced Python development in production, including the use of AI-assisted coding tools to improve productivity while maintaining code quality
• We require 4 years of hands-on experience designing and deploying production machine learning systems on AWS, such as SageMaker, Lambda, ECS/EKS, or S3
• We look for proven experience delivering AI/ML solutions at scale with measurable business impact
• We require experience with object-oriented design, distributed systems, and performance engineering
• We look for proven experience building and deploying LLM-based applications, including retrieval-augmented generation and fine-tuning workflows
• We require hands-on production experience with NLP, computer vision, OCR, or document AI solutions
• We expect experience implementing MLOps practices using tools such as MLflow, Kubeflow, Airflow, feature stores, or model registries
• We require proven experience mentoring engineers and driving execution against multi-quarter roadmaps
• We need strong communication skills, including the ability to translate business needs into technical deliverables for senior stakeholders
• Preferred: experience delivering AI/ML solutions in wholesale payments, transaction banking, or financial services
• Preferred: experience with model risk management frameworks, model governance, and responsible AI practices
• Preferred: experience with Kubernetes and infrastructure as code, such as Terraform
• Preferred: experience with real-time or streaming inference use cases
• Preferred: contributions to open-source machine learning ecosystems or peer-reviewed publications

• We partner with senior business stakeholders to define problems, set success metrics, and align AI/ML roadmaps with priorities
• We lead architecture, design, and end-to-end delivery of enterprise AI/ML solutions for Wholesale Payments Operations
• We write clean, efficient, production-quality code and help set engineering standards across the team
• We champion modern software development life cycle, continuous integration and continuous delivery, and DevOps practices
• We deploy and operate AI/ML services on AWS at scale
• We apply advanced methods including data and text mining, document analysis, classification, OCR, NLP, and LLM workflows such as retrieval-augmented generation and fine-tuning
• We design and implement scalable, secure data pipelines for model training and inference
• We define and enforce MLOps, model governance, monitoring, and responsible AI practices, representing the team in architecture and risk forums
• We evaluate model performance in production, including drift management and reproducibility
• We mentor engineers, conduct code and design reviews, and support recruiting and talent development

• AI
• Airflow
• AWS
• Lambda
• Computer Vision
• DevOps
• Fine-tuning
• Support
• Kubeflow
• Kubernetes
• LLM
• Machine Learning
• MLflow
• MLOps
• Model Training
• Python
• Terraform
• Cloud
• CI/CD
• Claude Code
• Copilot
• GitHub
• Web

More:

We are JPMorganChase, one of the oldest financial institutions, providing innovative financial solutions to millions of consumers, small businesses, and some of the worlds most prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. Our history spans more than 200 years, and we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management. We offer a competitive total rewards package, including base salary determined by role, experience, skill set, and location, with eligible roles potentially receiving commission-based pay and/or discretionary incentive compensation. We also provide a range of benefits and programs, including comprehensive health care, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, financial coaching, and more. We value diversity and inclusion and are an equal opportunity employer. The role sits within our Wholesale Payments Operations team, supporting scalable AI/ML capabilities for operations use cases such as document processing and workflow automation, while contributing to reusable platforms and patterns that help teams safely deploy and operate models in production. This opportunity is part of J.P. Morgans Commercial & Investment Bank, a global leader across banking, markets, securities services, and payments, operating in more than 100 countries.

last updated 36 week of 2026