<p>JobID: 210693299</p> <p>Category: Predictive Science</p> <p>JobSchedule: Full time</p> <p>Posted Date: 2025-12-11T14:54:20+00:00</p> <p>JobShift:</p> <p>:</p> <p>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.</p> <p>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.</p> <p>Job Responsibilities:</p> <ul> <li>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. </li><li>Lead the development and deployment of AI models and systems, ensuring robust data pipelines and model monitoring. </li><li>Apply cloud engineering best practices, including infrastructure design and automation using Terraform. </li><li>Collaborate with product, business, and technology stakeholders to translate requirements into actionable AI solutions. </li><li>Stay current with emerging AI, LLM, and voice technologies, driving adoption and innovation. </li><li>Lead, mentor, and manage multiple AI engineering teams, fostering a culture of innovation and technical excellence. </li><li>Set strategic direction, define goals, and ensure successful delivery of AI projects across business units. </li><li>Develop talent, build team capabilities, and drive continuous improvement. </li><li>Partner with senior executives to align AI initiatives with organizational objectives. </li><li>Oversee resource allocation, budgeting, and performance management for all teams under your purview. </li></ul> <p>Required qualifications, skills and capabilities</p> <ul> <li>Advanced degree (Master's or PhD) in Computer Science, AI, or related field. </li><li>12+ years of experience in AI engineering, with at least 5 years in a senior leadership role. </li><li>Proven track record of delivering large-scale AI solutions, including LLM, NLU/NLP, and voice technologies, in a complex, multi-team environment. </li><li>Strong expertise in cloud platforms, infrastructure automation (Terraform), and AI/ML frameworks. </li><li>Excellent leadership, communication, and stakeholder management skills. </li><li>Experience working in global organizations and managing cross-functional teams </li></ul>