JPMorgan Sr Director Software Engineering - AI/ML Data Platforms 

United States, Washington, Seattle 

200606485

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 firm’s 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 experience. In 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
• Bachelor's 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
• 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.
• 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.