Warner Bros. Discovery is hiring a Manager, AI Application Development

Warner Bros. Discovery is hiring a Manager, AI Application Development to design, build, and deploy AI-powered applications that drive innovation and efficiency across the enterprise. You will lead a team of AI engineers and developers, collaborating with cross-functional stakeholders to translate business challenges into impactful applications.

What You'll Do

• Lead the design, development, and deployment of AI/ML applications that solve high-impact business problems.
• Translate business requirements into technical solutions leveraging advanced AI/ML techniques.
• Ensure AI models are integrated into user-friendly applications with robust APIs, dashboards, and enterprise systems.
• Drive best practices in software engineering, MLOps, and scalable cloud deployment.
• Manage a team of AI engineers and developers, setting goals, guiding technical execution, and fostering growth.
• Mentor junior team members, promoting excellence in AI coding practices, model deployment, and system design.
• Define architecture standards for AI application development and integration with enterprise platforms.
• Ensure applications are scalable, secure, and compliant with industry regulations.
• Stay ahead of emerging AI technologies (GenAI, Agentic AI, LLMOps) and assess their applicability for enterprise adoption.
• Partner with product managers, data scientists, business teams, and senior leaders to align solutions with strategic priorities.
• Clearly communicate complex AI concepts and application value to both technical and non-technical stakeholders.
• Build strong relationships with vendors, cloud providers, and external partners to accelerate innovation.
• Implement best practices for governance, risk management, and compliance in AI application delivery.
• Monitor and optimize application performance to ensure scalability and reliability.
• Continuously enhance development practices to improve speed, quality, and maintainability of AI solutions.

What We're Looking For

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 8–10 years of professional experience in AI/ML, software engineering, or application development.
• Proven track record of building and deploying AI-powered applications at scale in enterprise environments.
• Strong experience with Python, Java/JavaScript, or similar programming languages for AI integration.
• Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud AI platforms (AWS SageMaker, Azure AI, Bedrock, etc.).
• At least 3+ years of leadership/managerial experience managing teams of developers/engineers.
• Strong proficiency in Python and ML pipeline development.
• Experience with MLOps tools (MLflow, Kubeflow, Airflow) and CI/CD for AI.
• Familiarity with microservices, REST APIs, and containerization (Docker, Kubernetes).
• Good understanding of software engineering practices (Agile, DevOps, SDLC).
• Knowledge of data engineering and integration with enterprise data lakes/warehouses.
• Excellent leadership, team-building, and interpersonal skills with the ability to engage stakeholders at all levels.
• Strong project management skills, with experience in overseeing end-to-end automation projects, ensuring timely and on-budget delivery.
• Exceptional communication skills, both written and verbal, with the ability to articulate complex automation strategies to non-technical audiences.
• Strong analytical and problem-solving skills with a focus on process optimization and continuous improvement.
• A proactive, self-motivated approach to identifying opportunities for automation and driving their implementation.

Nice to Have

• Certifications in AI/ML, Cloud (AWS/Azure/GCP), or application development frameworks are desirable.
• Exposure to GenAI/LLM-based applications, prompt engineering, and API-based deployments is highly desirable.

Technical Stack

• Languages: Python, Java, JavaScript
• ML Frameworks: TensorFlow, PyTorch, Scikit-learn
• Cloud AI Platforms: AWS SageMaker, Azure AI, Bedrock
• MLOps Tools: MLflow, Kubeflow, Airflow
• Infrastructure: Docker, Kubernetes

Team & Environment

You will lead a team of AI engineers and developers.

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.