Principal Software Engineer - AI/ML Data Platforms

Principal Software Engineer

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 provide your expertise and engineering excellence as a key member of an agile team. Your role involves 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.

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.

Federal Deposit Insurance Act: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Base Pay/Salary: Seattle,WA $204,250.00 - $285,000.00 / year; Palo Alto,CA $204,250.00 - $285,000.00 / year