Manager, AI Application Development

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

:

As the Manager – AI Application Development, you will play a pivotal role in designing, building, and deploying AI-powered applications that drive innovation and efficiency across Warner Bros. Discovery. This role requires a balance of technical expertise, leadership, and collaboration to deliver scalable, production-grade AI solutions that align with enterprise transformation goals. 

You will lead a team of AI engineers and developers, collaborating with cross-functional stakeholders to translate business challenges into impactful AI applications. Working in one of the world’s largest Media & Entertainment companies, you will be at the forefront of building intelligent systems that enhance decision-making, optimize operations, and unlock new business opportunities. 

Your responsibilities include driving the adoption of automation platforms (such as RPA, IPA, and cloud-based tools), integrating Agentic AI for adaptive and context-aware workflow automation, and ensuring solutions are robust, compliant, and measurable. This is a unique opportunity to influence the company’s automation strategy and champion the next wave of AI-enabled enterprise productivity. 

1. AI Application Development & Delivery

• 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. 

2. Team Leadership & Mentoring

• 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. 

• Ensure the team delivers high-quality, production-ready AI applications on time. 

3. Architecture & Technology Strategy

• 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. 

4. Stakeholder Engagement & Collaboration

• 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. 

5. Governance, Risk & Continuous Improvement

• 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. 

Qualifications & Experiences: 

Academic Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. 

• Certifications in AI/ML, Cloud (AWS/Azure/GCP), or application development frameworks are desirable. 

Professional Experience:

• 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.). 

• Exposure to GenAI/LLM-based applications, prompt engineering, and API-based deployments is highly desirable. 

• At least 3+ years of leadership/managerial experience managing teams of developers/engineers. 

Technical Skills:

• 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. 

Other Skills:

• 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. 

How We Get Things Done…