Director of Software Engineering - AI/ML Solutions - JPMorganChase : Job Details

Join us as an Executive Director to lead innovation and drive the future of AI technology with a talented team!

Job Description

As the Director of Software Engineering for our AI/ML platform, you will oversee the design and development of a robust, scalable, and high-performance AI/ML platform. You will manage a team of engineers and AI specialists, fostering innovation and continuous improvement. Collaborating with product management and cross-functional teams, you will define product vision, roadmaps, and deliverables for AI-driven features. You will promote best practices in software engineering, MLOps, and data governance, ensuring compliance with data privacy and security regulations. You will oversee the entire lifecycle of AI/ML projects, from conception to deployment and maintenance, and communicate technical solutions effectively across the organization. Additionally, you will manage budgets, resources, and report progress to executive leadership, playing a key role in maintaining industry leadership in AI/ML technology.

Responsibilities

• Design and develop a scalable, high-performance AI/ML platform.
• Lead and grow a team of engineers and AI specialists.
• Define product vision, roadmaps, and deliverables for AI features.
• Implement best practices in software engineering, MLOps, and data governance.
• Stay updated on emerging AI/ML trends and technologies.
• Ensure compliance with data privacy and security standards.
• Manage the lifecycle of AI/ML projects from ideation to deployment.
• Communicate technical concepts effectively at all organizational levels.
• Manage budgets and resources, and report to leadership.

Qualifications and Skills

• MS or PhD in a STEM field with 10+ years of experience in AI/ML platform management.
• Expertise in software engineering, AI/ML, MLOps, and data governance.
• Experience leading large, cross-functional teams.
• Proven ability to influence complex organizations and deliver value at scale.
• Experience with cloud-native architectures.
• Strong background in computer science, engineering, or mathematics.

Preferred Skills

• Knowledge of search/ranking, recommender systems, RAG, graph techniques.
• Understanding of LLM techniques, including agents, reasoning, and planning.
• Experience training and fine-tuning LLMs and embedding models, with a focus on LLM Ops and AIOps.