Lead AI Engineer (R&D Innovation Team) jobs in United States
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dentsu · 6 days ago

Lead AI Engineer (R&D Innovation Team)

Dentsu is a global company seeking a Lead AI Engineer to design, build, and deploy AI capabilities that enhance their products. The role involves collaborating with cross-functional teams to develop scalable AI systems for various applications such as content personalization and audience analytics.

AdvertisingInformation ServicesMarketing

Responsibilities

AI Solution Development: Architect, develop, and maintain AI systems for media products
Collaboration : Partner with product, engineering, and data teams to translate business needs into technical solutions
Deployment & Scaling : Implement AI models in production environments, ensuring reliability, scalability, and performance across global markets
Continuous Improvement : Monitor, evaluate, and iterate on AI models using real-world data and feedback
Research & Innovation : Stay current with AI/ML advancements; prototype and recommend new technologies to keep our products at the forefront of innovation
Ethics & Compliance : Champion responsible AI practices, ensuring fairness, transparency, and compliance with data privacy regulations

Qualification

PythonLLM orchestrationAPI integrationCloud platformsData science fundamentalsDocument processingContinuous improvementResearchInnovationEthicsComplianceCollaboration

Required

Master's degree in Computer Science, Engineering, or related field
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 (OpenAI, Anthropic, Cohere, etc.)
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
Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools

Preferred

PhD in Computer Science, Engineering, or related field

Benefits

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
Paid parental leave

Company

We are dentsu.

Funding

Current Stage
Late Stage
Total Funding
$24.88M
Key Investors
Epiris
2012-07-12Acquired
1993-11-01Private Equity· $24.88M

Leadership Team

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Dawn Rowlands
CEO Sub-Saharan Africa
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Nigel Sharrocks
CEO, Aegis Media Global Brands
Company data provided by crunchbase