AI Lead Software Engineer - Machine Learning

Location: Columbus, OH, United States

Job Family: Software Engineering

About the Role

As an AI Lead Software Engineer - Machine Learning at JP Morgan Chase, you will play a pivotal role in advancing our cutting-edge AI initiatives within the financial services industry. Based in Columbus, OH, you will join an agile team dedicated to developing robust machine learning solutions that drive innovation in areas such as fraud detection, risk assessment, algorithmic trading, and personalized client services. Leveraging JP Morgan's vast data resources and state-of-the-art infrastructure, you will architect scalable ML models that enhance operational efficiency and deliver tangible business value in a highly regulated environment. This position offers the opportunity to lead technical efforts that shape the future of global finance, collaborating with top-tier talent to tackle real-world challenges at one of the world's largest financial institutions. Your day-to-day responsibilities will involve end-to-end ML development, from data ingestion and feature engineering using financial datasets to model training, validation, and deployment on cloud platforms. You will ensure models are production-ready, incorporating best practices for explainability, bias mitigation, and compliance with regulations like GDPR and SEC guidelines. As a lead engineer, you will guide junior team members, conduct peer reviews, and integrate AI into JP Morgan's core systems, such as payment processing or investment platforms. Expect to work closely with data scientists, quants, and business stakeholders to translate complex financial requirements into actionable AI solutions that support sustainable growth and client trust. JP Morgan Chase values innovation and integrity, providing a collaborative culture where your expertise can make a significant impact. This role not only demands technical excellence but also the ability to navigate the fast-paced dynamics of financial markets. Join us to contribute to transformative projects that redefine banking through AI, while benefiting from comprehensive professional growth opportunities and a supportive work environment in Columbus, OH.

Key Responsibilities

• Design, develop, and deploy machine learning models to solve complex problems in risk management, fraud detection, and customer personalization within JP Morgan Chase's financial services ecosystem
• Collaborate with agile teams including data scientists, product managers, and compliance experts to integrate AI solutions into core banking platforms
• Optimize ML pipelines for scalability, performance, and efficiency using tools like Kubernetes and Spark on JP Morgan's cloud infrastructure
• Conduct code reviews, ensure model robustness, and implement monitoring for production ML systems to maintain high availability in a 24/7 financial environment
• Stay abreast of emerging AI technologies and regulatory changes in finance, applying them to enhance JP Morgan's competitive edge
• Mentor junior engineers and contribute to the firm's AI strategy by prototyping innovative solutions for trading algorithms or predictive analytics
• Ensure all ML developments adhere to JP Morgan's security protocols and ethical AI guidelines
• Analyze large-scale financial datasets to derive insights and improve model accuracy for business decision-making
• Participate in cross-team initiatives to embed AI into client-facing applications, such as personalized wealth management tools
• Document technical specifications and present findings to senior stakeholders to drive adoption of ML innovations

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field; advanced degree preferred
• 5+ years of experience in software engineering with a focus on machine learning and AI development
• Proven track record of deploying machine learning models in production environments within financial services or similar regulated industries
• Strong proficiency in Python, Java, or Scala for building scalable ML pipelines
• Experience with cloud platforms such as AWS, Azure, or Google Cloud for ML workloads
• Familiarity with data privacy regulations like GDPR and financial compliance standards (e.g., SOX, PCI-DSS)
• Ability to work in an agile environment and collaborate with cross-functional teams

Preferred Qualifications

• Master's or PhD in Machine Learning, Artificial Intelligence, or Statistics
• Experience with deep learning frameworks like TensorFlow or PyTorch in financial applications such as fraud detection or risk modeling
• Prior work at a major financial institution, with knowledge of capital markets or banking operations
• Certifications in AI/ML (e.g., AWS Certified Machine Learning or Google Professional ML Engineer)
• Experience leading small teams or mentoring junior engineers in ML projects

Required Skills

• Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Programming languages (Python, Java, Scala)
• Data processing tools (Apache Spark, Hadoop)
• Cloud computing (AWS, Azure, GCP)
• Version control (Git) and CI/CD pipelines
• SQL and NoSQL databases for financial data handling
• Statistical analysis and model evaluation techniques
• Agile methodologies and Jira for project management
• Problem-solving in high-stakes financial environments
• Communication skills for technical and non-technical audiences
• Knowledge of financial regulations and ethical AI practices
• Big data technologies (Kafka for streaming financial transactions)
• Containerization (Docker, Kubernetes)
• Time series forecasting for market predictions
• Team collaboration and leadership in multidisciplinary settings

Benefits

• Competitive base salary and performance-based annual bonuses aligned with JP Morgan's financial success
• Comprehensive health, dental, and vision insurance with low employee premiums
• 401(k) retirement savings plan with generous company matching contributions
• Paid time off including vacation, sick days, and parental leave
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee stock purchase plan and access to financial wellness resources
• Hybrid work model with flexibility for Columbus, OH-based roles, including wellness stipends
• On-site amenities at JP Morgan facilities, such as fitness centers and childcare support

JP Morgan Chase is an equal opportunity employer.