Applied AI Engineer-Vice President

Location: OH, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of innovation in financial services, leveraging cutting-edge AI to drive smarter decisions and deliver exceptional value to our clients. As an Applied AI Engineer at the Vice President level in our Predictive Science team, you will play a pivotal role in an agile environment, pushing the boundaries of technology to build and enhance AI-powered products. Based in Ohio, United States, this position offers the opportunity to work on transformative projects that impact global banking operations, from enhancing fraud detection systems to optimizing investment strategies through predictive modeling. Your core responsibilities will include developing scalable AI solutions tailored to the complexities of the financial industry, ensuring models are robust, compliant, and integrated seamlessly into JPMorgan's ecosystem. You will collaborate closely with data scientists, software engineers, and business leaders to translate business needs into actionable AI applications, while adhering to stringent regulatory standards that govern financial AI deployments. This role demands a blend of technical expertise and strategic thinking, as you experiment with advanced techniques like machine learning and generative AI to solve real-world challenges in risk management, customer insights, and operational efficiency. Joining JPMorgan Chase means becoming part of a world-class team committed to innovation and excellence. We foster a culture of continuous learning and provide resources to help you grow in your career. If you are passionate about applied AI and eager to make a meaningful impact in the financial sector, this Vice President role offers unparalleled opportunities to contribute to groundbreaking technologies that shape the future of banking.

Key Responsibilities

• Design, develop, and deploy advanced AI models to solve complex problems in predictive analytics, risk assessment, and customer personalization within JPMorgan Chase's financial services
• Collaborate with cross-functional agile teams including data scientists, engineers, and business analysts to integrate AI solutions into core banking products
• Conduct research and experimentation on emerging AI technologies to enhance fraud detection, algorithmic trading, and portfolio optimization
• Ensure AI models adhere to ethical standards, regulatory requirements, and JPMorgan's risk management frameworks
• Optimize machine learning pipelines for performance, scalability, and efficiency in high-volume financial data environments
• Mentor junior engineers and contribute to the continuous improvement of AI methodologies across the organization
• Analyze large-scale financial datasets to derive actionable insights and validate model accuracy
• Participate in code reviews, testing, and deployment processes to maintain high-quality, reliable AI systems
• Stay abreast of industry trends in applied AI for finance and propose innovative applications to senior leadership
• Document technical specifications and present findings to stakeholders to drive adoption of AI-driven solutions

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field
• 5+ years of experience in applied AI, machine learning, or data science roles within the financial services industry
• Proven track record of developing and deploying AI models in production environments, preferably in banking or fintech
• Strong proficiency in Python, R, or Java for AI/ML development and data processing
• Experience with cloud platforms such as AWS, Azure, or Google Cloud for scalable AI solutions
• Familiarity with regulatory compliance in financial AI applications, including data privacy standards like GDPR and CCPA
• Ability to collaborate in agile teams and communicate complex technical concepts to non-technical stakeholders

Preferred Qualifications

• PhD in a quantitative discipline with focus on AI/ML applications
• Experience with generative AI models or large language models in financial contexts
• Prior work at a major financial institution on risk modeling or fraud detection using AI
• Certifications in AI/ML (e.g., AWS Certified Machine Learning or Google Professional Data Engineer)
• Knowledge of JPMorgan Chase's internal tools and frameworks for AI development

Required Skills

• Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Deep Learning techniques for predictive modeling
• Natural Language Processing (NLP) for financial text analysis
• Big Data technologies (Hadoop, Spark, SQL/NoSQL databases)
• Cloud computing and deployment (AWS SageMaker, Kubernetes)
• Statistical analysis and data visualization (Tableau, Matplotlib)
• Agile methodologies and version control (Git, Jira)
• Problem-solving in high-stakes financial environments
• Communication and stakeholder management
• Ethical AI practices and bias mitigation
• Time management in fast-paced teams
• Python programming expertise
• Model evaluation metrics (precision, recall, ROC)
• Financial domain knowledge (risk, compliance, trading)
• Collaboration and teamwork skills

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company matching
• Paid time off including vacation, sick days, and parental leave
• Professional development opportunities through JPMorgan's internal training programs and tuition reimbursement
• Employee stock purchase plan and other financial wellness benefits
• Wellness programs including gym memberships and mental health support
• Flexible work arrangements and remote work options where applicable

JP Morgan Chase is an equal opportunity employer.