Director, Artificial Intelligence Engineering

American Airlines Group - Dallas, TX

Full-time - Senior

Dallas, TX

Air Transportation

About the position

The Director of Artificial Intelligence Engineering at American Airlines will lead the strategic vision and technical direction for the Generative AI organization. This role involves pioneering projects that leverage artificial intelligence to solve complex problems and create significant business value. The position requires collaboration with a diverse team of experts to build scalable AI solutions, ensuring compliance with data privacy and security standards while fostering a culture of innovation and excellence.

Responsibilities

• Develop and execute a strategic vision for integrating Generative AI into enterprise-level products or services.
• Lead a team of data engineers, ML engineers, data scientists, and software engineers to design, develop, and maintain scalable AI platforms and infrastructure.
• Implement Generative AI models into production.
• Evaluate and select Generative AI technologies, frameworks, and tools for optimal performance and scalability.
• Develop and enforce Responsible AI practices for Generative AI development and deployment.
• Present Generative AI strategies, architectures, and results to executive leadership and stakeholders.
• Ensure compliance with data privacy and security standards in all Generative AI initiatives.
• Stay updated on the latest trends, tools, and techniques in Generative AI.
• Provide technical leadership and mentorship to AI engineering teams.
• Partner with cross-functional teams to evolve capabilities and facilitate practical automation solutions.

Requirements

• Bachelor's degree in Data Science, Computer Science, Systems Engineering, or related field.
• 5-8 years of leadership experience, including experience leading other technical leaders and team members.
• 5-8 years of experience in leading Agile and DevOps practices to manage technology delivery.
• 5-8 years of experience leading AI/ML teams, managing large-scale AI solutions, with a focus on natural language processing techniques.
• Strong understanding of cloud computing principles, including infrastructure for AI, microservices architecture, and micro models.
• Strong knowledge of AI architecture, cloud computing, and scalable AI infrastructure (e.g., AWS, Azure, GCP).
• Excellent verbal and written communication skills, with proven ability to communicate complex technical concepts to non-technical stakeholders.

Nice-to-haves

• Advanced degree (Masters, Ph.D.) in Data Science, Computer Science, Systems Engineering, or related field.
• Proficiency in programming languages such as Python, R, or Java.
• 2 years of experience working with Generative AI foundation models (e.g., GPT, Llama, Gemini).
• Experience with AI-specific platform technologies (e.g., NVIDIA GPU Cloud, Lambda Labs).
• Experience developing and integrating APIs to support AI model access and deployment across applications.

Benefits

• Health insurance
• Dental insurance
• Flexible spending account
• Employee assistance program
• Vision insurance
• Pet insurance