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JPMorganChase

Director of Software Engineering - AI/ML Data Platforms

Posted Yesterday
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Hybrid
San Francisco, CA
Expert/Leader
Hybrid
San Francisco, CA
Expert/Leader
Lead multiple technical areas in AI/ML Data Platforms, manage cross-functional teams, drive technology adoption, and influence stakeholders.
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Job 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 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.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Top Skills

AI
Spark
Aws Sagemaker
Azure Cognitive Services
Eks
Emr
Gcp Vertex Ai
Kubeflow
Ml
Mlflow
Notebooks
Python
PyTorch
Ray
Scikit-Learn
Studios
TensorFlow

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