Senior Director of Software Engineering

Description

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Lets push the boundaries of whats possible together.

As a Senior Director of Software Engineering at JPMorgan Chase within the Corporate Sector AIML Data Platforms you will lead a specialized technical area driving impact across teams technologies and this role you will leverage your deep knowledge of machine learning software engineering and product management to spearhead multiple complex ML projects and initiatives serving as the primary decision-maker and a catalyst for innovation and solution delivery.

You will be responsible for hiring leading and mentoring a team of Machine Learning and Software Engineers focusing on best practices in ML engineering with the goal of elevating team performance to produce high-quality scalable ML solutions with operational excellence. You will engage deeply in technical aspects reviewing code mentoring engineers troubleshooting production ML applications and enabling new ideas through rapid prototyping. Your passion for parallel distributed computing big data cloud engineering micro-services automation and operational excellence will be key.

Job Responsibilities

• Lead and manage a team of machine learning engineers ensuring the implementation delivery and support of high-quality ML solutions.
• Collaborate with product teams to deliver tailored AI/ML-driven technology solutions.
• Architect and implement distributed AI/ML infrastructure including inference training scheduling orchestration and storage.
• Develop advanced monitoring and management tools for high reliability and scalability in AI/ML systems.
• Optimize AI/ML system performance by identifying and resolving inefficiencies and bottlenecks.
• Drive the adoption and execution of AI/ML Platform tools across various teams.
• Integrate Generative AI and Classical AI within the ML Platform using state-of-the-art techniques.
• Lead the entire AI/ML product life cycle through planning execution and future development by continuously adapting developing new AI/ML products and methodologies managing risks and achieving business targets like cost features reusability and reliability to support growth.
• Manage mentor and develop a team of AI/ML professionals in a way that promotes a culture of excellence continuous learning and supports their professional goals.

Required Qualifications Capabilities and Skills

• Formal training or certification on 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 and more broadly across the organization.
• Extensive hands-on experience with AI/ML frameworks (TensorFlow PyTorch JAX scikit-learn).
• Deep expertise in Cloud Engineering (AWS Azure GCP) and Distributed Micro-service architecture.
• Experienced with Kubernetes ecosystem including EKS Helm and custom operators.
• Background in High Performance Computing ML Hardware Acceleration (e.g. GPU TPU RDMA) or ML for Systems.
• Strategic thinker with the ability to craft and drive a technical vision for maximum business impact.
• Demonstrated leadership in working effectively with engineers data scientists and ML practitioners.

Preferred Qualifications Capabilities and Skills

• Strong coding skills and experience in developing large-scale AI/ML systems.
• Proven track record in contributing to and optimizing open-source ML frameworks.
• Recognized thought leader within the field of machine learning.

• Understanding & experience of AI/ML Platforms LLMs GenAI and AI Agents.

FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such an employment offer for this position is contingent on JPMorganChases review of criminal conviction history including pretrial diversions or program entries.

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Required Experience:

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