JPMorgan AI/ML Platform Architecture-Executive Director 

United States, New York, New York 

90413055

As an AI/ML Platform Architect - Executive Director on the Technology Team, you'll lead the design, development, and implementation of our AI/ML platform. You'll need to be a strategic thinker with deep technical expertise and a proven track record in architecting scalable, high-performance AI/ML solutions. To be successful, you'll bring a strong background in AI/ML technologies, cloud computing, and data engineering, coupled with exceptional leadership and communication skills.

Job responsibilities

• Design and architect scalable and robust platforms for artificial intelligence and machine learning (AI/ML) applications.
• Collaborate with data scientists and machine learning engineers to understand their needs and translate them into effective platform solutions.
• Lead the selection and integration of appropriate tools and technologies for data processing, model training, and deployment.
• Ensure the platform supports high-performance computing and efficient resource management.
• Implement best practices for data governance, security, and compliance within the AI/ML platform.
• Stay abreast of industry trends and advancements in AI/ML technologies and methodologies.
• Leads technology and process implementations to achieve functional architecture objectives
• Makes and is accountable for decisions that influence teams’ resources, budget, tactical operations and the execution and implementation of processes and procedures
• Manage risks and achieve business targets like cost, features, reusability, and reliability to support growth
• Ensure compliance with relevant data privacy and security regulations.

:

• Bachelor's degree in Computer Science, Engineering, or a related field..
• 10+ years of experience in software development, with at least 5 years in AI/ML architecture and platform development.
• Proven experience in designing and implementing large-scale AI/ML platforms and solutions.
• Strong proficiency in AI/ML frameworks and libraries (e.g. TensorFlow, PyTorch, scikit-learn).
• Expertise in cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Solid understanding of data engineering, data warehousing, and ETL processes.
• Excellent problem-solving skills and the ability to think strategically and analytically.
• Strong leadership and team management skills, with a track record of building and leading high-performing teams.
• Exceptional communication and interpersonal skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders.
• Experience with Agile development methodologies and DevOps practices.

:

• Masters degree or PHD in a related field preferred
• Publications or contributions to the AI/ML community.
• Experience in the financial industry
• Certifications in AI/ML, cloud computing, or related areas.