The purpose of this role is to develop best in class strategies and management of all Insights and Analysis activity on assigned clients, to manage and develop the team and serve as a point of escalation as needed.

Job Description:

What You Do

• Build AI solutions by designing and maintaining production‑ready systems that support media products.
• Collaborate with cross‑functional teams to translate business needs into scalable technical solutions.
• Deploy and scale systems in production environments with a focus on reliability, performance, and global impact.
• Improve models continuously using real‑world performance data and feedback loops.
• Explore new approaches by researching AI and ML advancements and prototyping solutions that enhance our products.
• Promote responsible AI by applying fairness, transparency, privacy, and compliance standards in every system you create.

What You Bring

• Master’s degree in computer science, engineering, or a related field. A PhD is welcome but not required.
• Strong Python skills with experience using LLM orchestration libraries such as LangChain, LlamaIndex, or Semantic Kernel.
• Experience working with enterprise LLMs and their APIs, including understanding performance challenges and mitigation strategies.
• Production experience building and integrating APIs, including RESTful API conventions and tools such as FastAPI.
• Experience combining multiple techniques for improving LLM output quality, such as prompt engineering, multi‑agent orchestration, structured output validation, hybrid RAG, in‑context learning, and related methods.
• Proficiency in document processing workflows, including text extraction, chunking, and embedding.
• Experience monitoring and improving AI systems. Familiarity with tracing tools such as Arize, OpenTelemetry, or LangSmith is a plus.
• Strong foundation in data science, including statistical methods and working with structured and unstructured data.

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