Director of Engineering, Applied AI

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. Employees may work remotely in the following states: 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. Director of Engineering, Applied AI The role is a strategic and hands‑on leadership position responsible for designing, developing, and delivering AI‑driven capabilities across A+E Global Media’s technology platforms. Reporting to the VP, Corporate Application Engineering & Enterprise Data, the director will scale Applied AI and generative AI initiatives, collaborate with product, data, and business teams, and coordinate with Data Engineering, Application Development & Integrations to align AI capabilities with business goals. Responsibilities 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 maintain industry leadership. Develop custom AI solutions using Retrieval‑Augmented Generation (RAG) pipelines and model fine‑tuning to meet business‑specific needs, defining evaluation criteria and benchmarks for performance, grounding, and reliability. Design and lead systems that extract value from large structured and unstructured datasets (e.g., PDFs in S3, SharePoint documents, emails) using LLMs, RAG, RLHF, and other 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 lessons are shared openly. 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. Collaborate with Product and Business Analysts to co‑develop AI‑enabled features and prioritize high‑impact initiatives. Engage with Application Engineering teams to embed Agentic AI into production systems, improving user experience, scalability, and long‑term maintainability. Drive engineering excellence and delivery cadence across the AI stack—observability, latency, model monitoring, evaluation harnesses, rollback paths, and sprint‑level prioritization. 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 relevant for media content and audience data. Qualifications 8 or more years of technology engineering experience, including 2+ years in Applied AI software integration. 3 or more years of team leadership experience. Proficiency in Python and/or TypeScript/Javascript. Strong SQL skills. Experience working with LLM provider APIs (OpenAI, Anthropic, Google Gemini) and frameworks (LangChain, LlamaIndex, AutoGen, AI SDK) to build agentic or multi‑agent AI workflows. Experience building and deploying AI‑powered applications at scale, with a focus on LLMs in real‑world products and workflows. Experience with Agentic AI, embeddings, RAG, RLHF, and other AI techniques at enterprise scale. Experience designing or applying evaluations on systems built on top of LLMs, including prompt testing, grounding, hallucination detection, and performance benchmarking. Excellent communication skills and experience on cross‑functional initiatives. Preferred: experience with Agentic AI harnesses and orchestration frameworks (LangGraph, Semantic Kernel). Preferred: experience with big data and data warehouse projects. Preferred: familiarity with vector databases and RAG pipelines (Pinecone, Weaviate, Milvus, ChromaDB, pgvector). Preferred: building full‑stack AI‑powered applications using modern web frameworks (Next.js, React). Preferred: hands‑on experience with ML/deep‑learning libraries (PyTorch, TensorFlow, Hugging Face Transformers, Scikit‑learn) and deploying models to production. Preferred: experience with MLOps tooling (MLflow, Weights & Biases, Kubeflow) and cloud ML platforms (AWS SageMaker, Google Vertex AI, Azure ML). Preferred: familiarity with data engineering tools and platforms (Databricks, Snowflake, Apache Spark, dbt, Kafka). Preferred: familiarity with data privacy, copyright, and ethical issues in Applied AI applications. Experience in the media, entertainment, ad‑tech, mar‑tech, or publishing industry is a plus. Compensation & Benefits Annual Pay Range: $188,034 - $220,000 Annual Incentive Target: 17.50% A+E Global Media offers a competitive total compensation package, which includes healthcare coverage, 401(k) matching, and a range of other benefits. Equal Employment Opportunity A+E Global Media proudly provides equal employment opportunity for all employees and job applicants and makes employment decisions consistent with this principle. Employment actions and decisions—recruitment, hiring, training, promotion, demotion, compensation, transfer, layoff, and termination—are made without regard to an employee’s race, color, religion, creed, age, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender, sexual orientation, gender identity, gender expression, marital status, alienage or citizenship status, physical and/or mental disability, medical condition, family and medical leave status, genetic information, military or veteran status, or any other characteristic protected by applicable law. EEO Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. #J-18808-Ljbffr