Applied AI ML Director

1 week ago

Columbus, United States JPMorgan Chase & Co. Full time

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 capabilitiesAdvanced 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

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