Principal Software Engineer - AI/ML Data Platforms

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.

As a Principal Software Engineer at JPMorgan Chase within the Corporate AI/ML Data Platforms Team, you will bring your expertise and engineering excellence to an agile team, focusing on enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will leverage your advanced technical skills and collaborate with colleagues across the organization to achieve best-in-class outcomes across various technologies, supporting one or more of the firm’s portfolios.

Job responsibilities

• Creates complex and scalable coding frameworks using appropriate software design frameworks
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Advises cross-functional teams on technological matters within your domain of expertise
• Serves as the function’s go-to subject matter expert
• Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
• Creates durable, reusable software frameworks that are leveraged across teams and functions
• Influences leaders and senior stakeholders across business, product, and technology teams
• Champions the firm’s culture of diversity, opportunity, inclusion, and respect
• Lead the development of the next generation AI/ML-features for training and experimentation across traditional and gen AI that are tailored towards data scientists and ML/AI engineers.
• Elevate the overall engineering and applied science culture and practices across the organization and the firm.
• Represent the organization through external and internal talks and conferences.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 10+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Expert in one or more programming language(s)
• Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
• Experience leading a product as a Product Owner or Product Manager
• Ability to present and effectively communicate with Senior Leaders and Executives
• Understanding of the business
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
• 5 years of experience working with Machine Learning, AI, Large Language Models (LLM) infrastructure, especially with training, model development, and other requests.

Preferred qualifications, capabilities, and skills

• M.Sc or Ph.D in CS or any related field.
• Expertise in Machine Learning frameworks like Python, Scikit-learn, PyTorch, TensorFlow, Apache Spark, and experience with Generative AI models like GANs, Transformers, and Diffusion Models.
• Knowledge of MLOps best practices around model training, evaluation, deployment, and governance. Ability to communicate and help clients operationally set up MLOps functions.
• Experience integrating ML solutions with cloud platforms like AWS SageMaker, GCP Vertex AI, Azure Cognitive Services, and leveraging their pre-built capabilities.
• Proficiency in ML workflow tools like Kubeflow and MLflow for experiment tracking, model management, and model serving.
• Ability to identify and articulate the business value of AI/ML to stakeholders using innovative techniques like AI Readers, AI Assistants, Agentic frameworks, etc
• Passion for AI/ML and ability to stay updated on the latest advancements through conferences, publications, cohorts, etc. Experience in consulting, sales engineering, and/or customer success.