As Sr. Staff – Data Science & Applied AI (Gen AI), you will be a core technical contributor within WBD’s AI Center of Excellence (CoE). This role is designed for a hands-on senior architect who operates at the intersection of enterprise architecture, applied AI, Generative AI, agentic AI, and cloud platform engineering. You will translate complex business challenges into scalable AI solution architectures, production-ready platforms, and reusable technical patterns that drive measurable enterprise value. You will serve as a senior individual contributor, partnering closely with Product, Engineering, Data, Security, and Business stakeholders to design, govern, and scale modern AI solutions across the organization. The role combines solution architecture leadership with deep expertise in GenAI application design, agentic systems, and AI cloud architecture on AWS and Snowflake. Enterprise AI Solution Architecture Define end-to-end solution architecture for enterprise AI, GenAI, and agentic AI applications aligned to business and technology strategy. Translate business workflows and operational challenges into scalable AI solution patterns, including autonomous and semi-autonomous agent use cases. Partner with product, engineering, data, and business teams to move AI and GenAI use cases from concept and pilot into production at enterprise scale. Create reusable architecture patterns, accelerators, reference implementations, and technical standards to speed AI adoption across teams. Generative AI & LLM Applications Architect scalable GenAI applications for use cases such as enterprise copilots, semantic search, summarization, metadata enrichment, content intelligence, and document processing. Define reference architectures for Retrieval-Augmented Generation (RAG), prompt orchestration, model selection, context management, and response quality optimization. Develop and standardize evaluation frameworks to assess hallucination risk, answer quality, latency, cost efficiency, safety, and business relevance. Implement responsible AI controls, safety mechanisms, and governance practices to ensure compliant and reliable deployment of GenAI systems. Evaluate and recommend foundation models, embeddings, prompt strategies, and adaptation approaches based on business fit, performance, and cost. Productionization, Engineering & Governance Collaborate with Data Engineering, Platform Engineering, DevOps, and Security teams to productionize AI and GenAI solutions in scalable cloud environments. Design CI/CD and automation patterns for model deployment, prompt/version management, testing, release control, and operational support. Implement monitoring for model drift, prompt drift, performance degradation, usage patterns, system health, and data integrity. Support governance, risk management, and responsible AI initiatives by embedding security, privacy, compliance, and auditability into solution design. Innovation & Technical Leadership Stay current with advancements in foundation models, multimodal AI, agent frameworks, orchestration patterns, and cloud-native AI services. Provide architecture guidance, design reviews, and technical mentorship across cross-functional teams. Contribute to enterprise-wide AI best practices, reusable frameworks, and technical decision-making to elevate the maturity of the AI ecosystem. Qualifications & Experiences: Bachelor’s degree, Master’s degree, or higher in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. 8+ years of relevant experience in solution architecture, data science, machine learning, or AI engineering, with at least 2+ years of experience in Generative AI / LLM-based solutions. Demonstrated track record of designing and delivering production-grade AI/ML/GenAI solutions with measurable business impact. Strong experience in architecting enterprise AI solutions across business workflows, data ecosystems, and cloud platforms. Hands-on expertise in building and scaling GenAI and LLM applications, including prompt engineering, RAG architectures, semantic search, embeddings, and evaluation frameworks. Experience designing or supporting agentic AI systems, including orchestration, tool usage, memory, guardrails, and human oversight patterns. Deep understanding of cloud-native AI/ML architecture principles, including deployment patterns, platform reliability, observability, security, and cost optimization. Experience establishing reusable architecture patterns, technical standards, and governance controls for AI systems in enterprise environments. Strong collaboration skills with Product, Engineering, Data, Security, and Business teams in global, cross-functional settings. Generative AI & Large Language Model (LLM) Expertise Hands-on experience designing and deploying Generative AI solutions using large language models (e.g., GPT-class models, open-source foundation models, or enterprise LLM platforms). Strong proficiency in prompt engineering, structured output design, few-shot learning strategies, and systematic prompt optimization. Experience building Retrieval-Augmented Generation (RAG) pipelines integrating vector databases and enterprise data sources. Familiarity with embedding models, semantic search, and vector stores (e.g., Pinecone, Weaviate, OpenSearch, FAISS, or equivalent). Experience fine-tuning or adapting foundation models using parameter-efficient approaches (e.g., LoRA, adapters, instruction tuning). Understanding of LLM evaluation methodologies, including hallucination detection, bias assessment, response quality scoring, and cost-performance trade-offs. Exposure to multimodal AI (text, image, audio, video) and agent-based workflows is a plus. Experience working with enterprise AI platforms (e.g., AWS Bedrock, Azure OpenAI, Databricks Model Serving, Snowflake Cortex, or equivalent). Understanding of Responsible AI principles, data privacy considerations, and model governance requirements in regulated environments.

About Warner Bros. Discovery

Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world’s most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines WarnerMedia’s premium entertainment, sports and news assets with Discovery’s leading non-fiction and international entertainment and sports businesses. ****Please be aware of recruitment scams by individuals posing as employers and encouraging candidates to apply for, interview and/or accept nonexistent job opportunities as a means to solicit personal information or money. The online scammers have become much more sophisticated in their attempts to lure victims. Employment opportunities and job offers at Warner Bros. Discovery will always come from our Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. WBD does not extend job offers via email or on any other messaging tools to individuals to whom we have not made prior contact. Our email domain is @wbd.com