Director of Software Engineering - AI/ML Data Platforms
Director of Software Engineering - AI/ML Data Platforms
Posted on :
15-08-2025
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1 Vacancy
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Job Description
Description
As a Senior Director of Software Engineering at JPMorgan Chase within the Corporate Sector - AIML Data Platforms you lead multiple technical areas manage the activities of multiple departments and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends best practices and technological advances.
Job responsibilities
- Leads multiple technology and process implementations across departments to achieve firmwide technology objectives
- Directly manages multiple areas with strategic transactional focus
- Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms divisions and lines of business
- Acts as the primary interface with senior leaders stakeholders and executives driving consensus across competing objectives
- Manages multiple stakeholders complex projects and large cross-product collaborations
- Influences peer leaders and senior stakeholders across the business product and technology teams
- Champions the firms culture of diversity equity inclusion and respect
- Lead the development of AI/ML-centered EKS Ray EMR Notebooks and Studios that are tailored towards data scientists and ML/AI engineers.
- Act as a primary engineering leader with third-party stakeholders and internal stakeholders.
- Elevate the overall engineering 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 addition 5 years of experience leading technologists to manage anticipate and solve complex technical items within your domain of expertise
- Experience developing or leading large or cross-functional teams of technologists
- Demonstrated prior experience influencing across highly matrixed complex organizations and delivering value at scale
- Experience leading complex projects supporting system design testing and operational stability
- Experience with hiring developing and recognizing talent
- Extensive practical cloud native experience
- Expertise in Computer Science Computer Engineering Mathematics or a related technical field
- Bachelors degree in Computer Science or equivalent practical experience.
- 5 years of experience working with Machine Learning AI Large Language Models (LLM) infrastructure especially with training model development and other requests.
- Experience operating in a hyper-growth entrepreneurial environment scaling new and emerging products from the ground up.
Preferred qualifications capabilities and skills
- Experience working at code level
- 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.
- Strong communication presentation and storytelling skills to influence technical sales cycles with business decision-makers.
- 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.
- Comfortable in evangelizing and marketing ML/AI practice with internal teams partners and customers alike.
Required Experience:
Director
Employment Type
Full-Time
Key Skills
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