Lead AI Engineer

dentsu - United States

Hiring: Lead AI Engineer Company: dentsu Location: United States Job Posted Time: 2026-09-16 14:42:03 Employment Type: Remote Target Skills & Keywords : AI, AWS, Azure, FastAPI, GCP, LLM, LangChain, LlamaIndex, MLOps, NLP, OpenTelemetry, Python, RAG, REST About the job Required Skills: •Architect, develop, and maintain AI systems for media products. •: Partner with product, engineering, and data teams to translate business needs into technical solutions. •: Implement AI models in production environments, ensuring reliability, scalability, and performance across global markets. •: Monitor, evaluate, and iterate on AI models using real-world data and feedback. •: Stay current with AI/ML advancements; prototype and recommend new technologies to keep our products at the forefront of innovation. •: Champion responsible AI practices, ensuring fairness, transparency, and compliance with data privacy regulations. Qualifications: •Master’s degree in Computer Science, Engineering, or related field (PhD a plus). •Strong Python skills, with experience in LLM orchestration libraries (e.g., LangChain, LlamaIndex, Semantic Kernel), chain-of-thought, and structured reasoning approaches. •Demonstrated experience with enterprise LLMs – their APIs, performance challenges, and how to mitigate those •Demonstrated production experience with API conventions and integration into pipelines, e.g. RESTful API, FastAPI, or similar. •Demonstrated experience integrating multiple approaches for extracting highest-quality output from LLMs, e.g. prompt engineering, multi-agents, structured output validation, hybrid RAG, in-context learning (ICL), or NLP- or ontology-powered layering. •Proficiency with document processing pipelines (text extraction, chunking, embedding) •Demonstrated production experience with measuring and improving AI systems, tracing and AI observability (e.g. Arize, OpenTelemetry, LangSmith) •Strong foundation in data science fundamentals, including data analysis, statistical methods, and experience working with structured and unstructured data •The annual salary range for this position is (163,000-$210,00). Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. Additionally, this position is eligible for discretionary incentive compensation. •Medical, vision, and dental insurance, Life insurance, Short-term and long-term disability insurance, 401k, Flexible paid time off, At least 15 paid holidays per year, Paid sick and safe leave, and Paid parental leave. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!