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 frameworksDevelops secure and high-quality production code, and reviews and debugs code written by othersAdvises cross-functional teams on technological matters within your domain of expertiseServes as the function’s go-to subject matter expertContributes to the development of technical methods in specialized fields in line with the latest product development methodologiesCreates durable, reusable software frameworks that are leveraged across teams and functionsInfluences leaders and senior stakeholders across business, product, and technology teamsChampions the firm’s culture of diversity, opportunity, inclusion, and respectLead 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 experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityExpert 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 disciplinesExperience leading a product as a Product Owner or Product ManagerAbility to present and effectively communicate with Senior Leaders and ExecutivesUnderstanding of the businessPractical cloud native experienceExperience in Computer Science, Computer Engineering, Mathematics, or a related technical field5 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 skillsM.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, etcPassion 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.