JobID: 210693299 Category: Predictive Science JobSchedule: Full time Posted Date: 2025-12-11T14:54:20+00:00 JobShift: : If you are a visionary leader with deep technical expertise in AI engineering, LLMs, NLU/NLP, voice, and cloud technologies, and a passion for building world-class teams, we invite you to apply for this exciting opportunity.
As a Applied AI Director at JPMorganChase within the Consumer & Community Banking Machine Learning, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
This strategic role is split between hands-on AI engineering (50%) and leadership (50%), managing multiple teams to deliver innovative solutions across the organization.
Job Responsibilities: * Architect, design, and implement scalable AI solutions, with a focus on Large Language Models (LLMs), Natural Language Understanding (NLU), Natural Language Processing (NLP), and voice technologies.
* Lead the development and deployment of AI models and systems, ensuring robust data pipelines and model monitoring.
* Apply cloud engineering best practices, including infrastructure design and automation using Terraform.
* Collaborate with product, business, and technology stakeholders to translate requirements into actionable AI solutions.
* Stay current with emerging AI, LLM, and voice technologies, driving adoption and innovation.
* Lead, mentor, and manage multiple AI engineering teams, fostering a culture of innovation and technical excellence.
* Set strategic direction, define goals, and ensure successful delivery of AI projects across business units.
* Develop talent, build team capabilities, and drive continuous improvement.
* Partner with senior executives to align AI initiatives with organizational objectives.
* Oversee resource allocation, budgeting, and performance management for all teams under your purview.
Required qualifications, skills and capabilities * Advanced degree (Master's or PhD) in Computer Science, AI, or related field.
* 12+ years of experience in AI engineering, with at least 5 years in a senior leadership role.
* Proven track record of delivering large-scale AI solutions, including LLM, NLU/NLP, and voice technologies, in a complex, multi-team environment.
* Strong expertise in cloud platforms, infrastructure automation (Terraform), and AI/ML frameworks.
* Excellent leadership, communication, and stakeholder management skills.
* Experience working in global organizations and managing cross-functional teams