Director of Engineering, Applied AI

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Additional Information

Work Locations: With the exception of some select roles that have in-office requirements, A+E Global Media operates on a flexible model that allows for remote, hybrid or full time in office work (in certain locales). Office locations include New York City, Los Angeles, Chicago, and Stamford, CT. Our list of eligible states in which employees may work remotely includes: California, Connecticut, Florida, Georgia, Illinois, Indiana, Maryland, Massachusetts, Michigan, Minnesota, Nevada, New Hampshire, New Jersey, New York, North Carolina, Oregon, South Carolina, South Dakota, Texas, West Virginia, Wisconsin, and Wyoming. Division Story A+E's Technology team is deep-rooted in the heart of our business. We have great people and great technologies, and together we take on the toughest challenges. As innovators, we choose to iterate, pivot, and adapt quickly. We've reinvented the way A+E leverages technology to produce and sell world-class content. We've modernized our core solutions and embraced a cloud first approach. Perched on the virtues of our "Technology Code", we make technology better, create solutions together, and most of all, we have fun with it. Our team members are motivated individuals who help each other do remarkable things every day. Together we deliver best-in-class solutions that transform the way A+E works. If this sounds like something you want to be a part of, we want to hear from you! Job Description THE ROLE: Director of Engineering, Applied AI A+E Global Media is seeking a strategic and hands-on Director of Engineering, Applied AI to lead the design, development, and delivery of AI-driven capabilities across our technology platforms. Reporting directly to the VP, Corporate Application Engineering & Enterprise Data, you will play a critical role in scaling our Applied AI and generative AI initiatives while collaborating with product, data, and business teams to bring next-generation media experiences to life. You will serve as a technical leader, coordinating with multiple teams - including Data Engineering, Application Development & Integrations - to drive innovation, ensure delivery excellence, and align AI capabilities with business goals. This is a unique opportunity to shape A+E Global Media's Applied AI engineering function . As an Applied AI Engineering leader on the team, you'll build and nurture a team of AI Engineers and improve the technical foundation for our Applied AI engineering team going forward. MORE OF WHAT YOU'LL DO: Applied AI Engineering Leadership Drive the technical roadmap for Applied AI across key enterprise applications and business workflows. Evaluate and implement cutting-edge AI techniques, frameworks, and best practices including LLMs to ensure the team remains at the forefront of innovation and leverages the best available tools for media and entertainment use cases. Drive development of custom AI solutions using Retrieval-Augmented Generation (RAG) pipelines and model fine-tuning to meet business-specific needs across departments, including defining evaluation criteria and benchmarks to ensure performance, grounding, and reliability. Design and lead systems that extract value from large structured and unstructured datasets - including PDFs in S3, SharePoint documents and emails using LLMs, RAG, RLHF, and enterprise-scale modern AI techniques. Build Agentic AI systems that streamline & automate workflows using LLMs Cultivate a culture of experimentation, engineering rigor, and inclusiveness where bold ideas are tested quickly and learned from openly. Delivery & Cross-Functional Collaboration Oversee the full lifecycle of Agentic AI applications, from prototyping and data exploration through model integration, orchestration, deployment, monitoring, and retraining. Partner with Data Engineering and Data Science teams to design robust, reusable data pipelines and experimentation workflows that accelerate Applied AI initiatives. Drive AI-enabled data accessibility across the organization, delivering solutions and tooling that empower stakeholders at all levels, from analysts to senior executives to extract actionable insights. Partner with Product and Business Analysts team to co-develop AI-enabled features and prioritize high-impact initiatives. Work closely with Application Engineering teams to embed Agentic AI into production systems, improve user experience, ensuring seamless integration, scalability, and long-term maintainability. Operational Excellence Drive engineering excellence and delivery cadence across the AI stack - observability, latency, model monitoring, evaluation harnesses, rollback paths, and sprint-level prioritization across concurrent workstreams. Build and maintain scalable, cloud-based AI infrastructure that supports rapid experimentation, model serving, and cost-controlled inference at media-scale workloads. Champion responsible AI development aligned with privacy, IP, copyright, and ethical standards - particularly rel