Warner Bros Discovery currently has 17 active AI-related job listings. The majority of these roles, specifically 76%, are focused on agents. Engineering is the top function across all these positions. The company is primarily hiring in India, with 14 listings, followed by the United States with 2. Frequent tech tags include agent orchestration, model serving, and guardrails, suggesting a focus on deploying and managing AI agents. In the last 30 days, Warner Bros Discovery has added 13 new AI roles, representing a 160% increase compared to the previous 30-day period.
Warner Bros Discovery currently has 12 active AI-related roles in our index. The most common open titles are: MLOps Engineer (AWS), Manager, Machine Learning Engineering & Data Science, Hyderabad, Principal Data Scientist, Senior Design Technologist, Design Systems, CNN, Senior Machine Learning Engineer (Data & Audience Platform Team), Hyderabad. Most positions are in Engineering and Product.
Warner Bros Discovery's active AI hiring is concentrated in: application (42%), agents (42%), serving infrastructure (17%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Warner Bros Discovery is hiring AI talent in: India (7 roles), United States (4 roles), Poland (1 role).
Job postings at Warner Bros Discovery most frequently mention: Machine Learning, Data Governance, Agentic Systems, Data Science, Computer Vision.
In the past 30 days, Warner Bros Discovery has posted 10 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Staff Data Scientist Staff Data Scientist at Warner Bros. Discovery focused on designing and delivering production-grade Gen AI based Media processing systems for language localization (Closed Captioning, Translation, Dubbing). The role involves leading end-to-end ML system design, experimentation, establishing evaluation frameworks, and mentoring a team. Requires 5+ years of experience building production ML solutions and practical knowledge of the ML lifecycle. | AgentServe | 8 |
| Principal, Data Scientist Principal Data Scientist role focused on designing, developing, and deploying advanced data science models for Warner Bros. Discovery's global advertising ecosystem. The role involves ML/AI strategy for forecasting, optimization, personalization, and audience intelligence, with a hands-on approach to embedding machine learning into advertising workflows. Key responsibilities include developing novel models, designing experimentation frameworks, advancing audience intelligence, and optimizing data platforms. Requires 12+ years of experience in applied data science, expertise in various modeling techniques, scalable ML systems, optimization, experimentation, and MLOps. |
| AgentServe |
| 8 |
| Sr. Staff, Data Science & Applied AI Senior Staff Data Scientist & Applied AI role focused on architecting and scaling enterprise Generative AI and agentic AI solutions on AWS and Snowflake. Responsibilities include defining end-to-end solution architectures, translating business challenges into AI patterns, productionizing GenAI applications (copilots, search, summarization), implementing RAG, prompt orchestration, and evaluation frameworks, and establishing responsible AI controls and governance. Requires strong expertise in GenAI application design, agentic systems, cloud AI/ML architecture, and productionization. | AgentServe | 8 |
| Sr. Staff, Data Science & Applied AI Senior Staff Data Scientist & Applied AI role focused on architecting and scaling enterprise AI, Generative AI, and agentic AI solutions on AWS and Snowflake. Responsibilities include defining end-to-end architectures, translating business challenges into AI solutions, designing agentic systems with orchestration and guardrails, and collaborating with cross-functional teams for productionization, governance, and innovation. | Agent | 8 |
| Sr. Staff, Data Science & Applied AI Senior Staff Data Scientist & Applied AI role focused on architecting and scaling enterprise AI, Generative AI, and agentic AI solutions on cloud platforms (AWS, Snowflake). The role involves translating business challenges into scalable architectures, designing MLOps/LLMOps patterns, ensuring productionization, and providing technical leadership. Requires hands-on expertise in GenAI application design, RAG, agentic systems, and cloud AI architecture. | AgentServe | 8 |
| Staff Product Manager - Tech - AI/ML Staff Product Manager, Technical (PM-T) for Content Intelligence at Warner Bros. Discovery, focusing on AI/ML capabilities for content localization workflows. This role involves defining requirements, driving execution of AI-powered systems for transcription, subtitling, translation, and dubbing, and leveraging content context to improve quality and consistency. Collaboration with engineering, AI/ML teams, and various stakeholders is key to operationalizing these systems and ensuring successful delivery of localized content across global markets. | AgentData | 7 |
| Senior Machine Learning Engineer (Data & Audience Platform Team), Hyderabad Senior Machine Learning Engineer on the Data & Audience Platform team responsible for designing and delivering production ML systems for audience targeting, advertising revenue, subscriber engagement, and retention. This role involves end-to-end development from data sourcing to monitoring, including feature engineering, model training, evaluation, and deployment. Key responsibilities include owning ML products like identity resolution and affinity models, designing scalable feature pipelines, architecting inference pipelines, developing various model types, and championing MLOps best practices. The role also involves using AI-assisted development tools and leveraging platforms like Databricks Genie and Snowflake Cortex. | AgentPost-train | 7 |
| Principal System Architecture This Principal System Architecture role focuses on defining and driving the architecture for AI-powered and agentic systems within Warner Bros. Discovery's AdTech platforms. The role involves architecting autonomous and human-in-the-loop systems for deployment orchestration, infrastructure lifecycle, and incident response, establishing guardrails for AI adoption, and integrating AI capabilities into core platform layers. The goal is to maximize monetization, enable automation, and deliver premium advertising experiences by re-imagining how systems are built and operated using AI. | Agent | 7 |
| Senior Principal, System Architecture Senior Principal, System Architecture role at Warner Bros Discovery focusing on leading the architecture for critical advertising technology platforms. The role involves defining and driving AI-powered and agentic systems automation for deployment orchestration, infrastructure lifecycle, and incident response. It also requires establishing guardrails for AI adoption, integrating AI capabilities into core platform layers, and driving standardization of agentic workflows. The position emphasizes platform architecture, system engineering, enterprise system evolution, technology strategy, and technical authority, with a focus on modernizing legacy platforms and enabling automation and premium advertising experiences. | Agent | 7 |
| Sr Principal, System Architecture The Senior Principal, System Architecture will lead the architecture for Warner Bros. Discovery's advertising technology platforms, focusing on AI-driven and agentic systems automation to improve scalability, reliability, performance, and cost efficiency. This role involves defining long-term architecture for autonomous and human-in-the-loop systems, establishing guardrails for AI adoption, integrating AI into core platform layers, and driving standardization of agentic workflows. The role also encompasses platform architecture, system engineering, enterprise system evolution, technology strategy, and technical authority. | Agent | 7 |
| Principal, System Architecture The Principal, Systems Architect will lead the architecture for Warner Bros. Discovery's critical advertising technology platforms, focusing on scalability, reliability, performance, and cost efficiency. This role involves architecting next-generation AI/ML-enabled capabilities, driving the design and implementation of enterprise-scale automation using AI and agentic architectures for autonomous and human-in-the-loop agents that orchestrate deployments, infrastructure lifecycle management, incident response, and operational workflows. The role also defines long-term architectural vision, drives build vs buy vs partner decisions, and ensures systems evolve towards modular, composable, and interoperable platforms. | AgentServe | 7 |
| Manager, Machine Learning Engineer Manager, Machine Learning Engineer for Warner Bros. Discovery, leading a team to build, deploy, and operate large-scale ML systems for media localization (Closed Captioning, translation, dubbing) on the Merlin platform. The role involves end-to-end design, experimentation, ML pipeline development, model serving, and establishing evaluation frameworks, with a focus on Gen AI applications. | AgentServe | 7 |
| Staff Engineer Staff Engineer role focused on designing and delivering scalable, cloud-native solutions for Warner Bros. Discovery's advertising technology stack. The role involves modernizing legacy systems, building APIs and services for ad-serving and campaign management, and implementing ETL pipelines and real-time data processing. A key aspect is the design, building, and operation of AI-driven automation and agent-based systems for workflow orchestration and efficiency. | AgentData | 7 |
| Director, AdTech Engineering Director of Engineering role focused on leading teams to design, develop, and deliver AdTech solutions, including building agentic AI systems using tools like Langchain and MoE, modernizing platforms, and ensuring scalability, reliability, and compliance. | Agent | 5 |
| Sr. Cybersecurity Engineer This role focuses on enhancing Warner Bros. Discovery's security capabilities by designing, implementing, and managing security platforms, with a significant emphasis on AI-driven security, including Endpoint Detection & Response (EDR), SIEM, and leveraging generative AI and AI agents for threat analysis and response. | Agent | 5 |
| Atlassian & DevOps Operations Engineer This role focuses on operationalizing and integrating AI agents within the Atlassian suite (Jira, Confluence) and developer toolchains. The engineer will build and tune AI agents for tasks like documentation, sprint summaries, and support triage, integrate them with enterprise data sources, and manage tools like Atlassian Rovo and GitHub Copilot. Responsibilities include advanced automation, scripting (Python, Groovy, Node.js), toolchain integration via APIs, performance monitoring, and supporting AI agent deployment in a corporate environment. | Agent | 5 |
| Atlassian & DevOps Operations Engineer This role focuses on operationalizing and integrating AI agents within the Atlassian suite (Jira, Confluence) and developer toolchains. The engineer will build and tune AI agents for tasks like documentation, sprint summaries, and support triage, integrate them with enterprise data sources, and manage tools like Atlassian Rovo and GitHub Copilot. Responsibilities include advanced automation, scripting (Python, Groovy, Node.js), toolchain integration via APIs, performance monitoring, and supporting AI agent deployment in a corporate environment. | Agent | 5 |