Overview
Manager, Artificial Intelligence will lead technical delivery and guide client strategy for generative AI projects, while mentoring a cross-functional team.
What you'll do
- Collaborate with clients to identify where AI and data can drive meaningful action.
- Translate client business challenges into rigorous, achievable technical approaches.
- Provide hands-on technical direction for generative AI project architecture and solution design.
- Guide delivery from prototype to production using expertise in LLMs and data science.
- Lead and develop a cross-functional team of data scientists, AI/ML engineers, and software engineers.
- Align AI workstreams with analytics, strategy, and engineering disciplines and support integration into broader execution.
What you'll need
- 6+ years of experience in AI, data science, or ML engineering.
- At least 2 years managing technical teams (data scientists, AI/ML engineers, or software engineers).
- Bachelor's degree in computer science, data science, engineering, or a related field (Master's preferred).
- Proficiency in Python, R, and SQL.
- Hands-on experience with Databricks, including MLflow, Delta Lake, Unity Catalog, or Databricks-native model serving.
- Proven ability to take AI projects from conception through production, including deployment and stakeholder communication.
Nice to have
- Experience with agentic AI frameworks or orchestration tools such as LangChain or AutoGen.
- Familiarity with prompt engineering, LLM fine-tuning, or retrieval-augmented generation (RAG) in production or client contexts.
- Experience in a digital services, consulting, or agency environment delivering AI alongside strategy/creative disciplines.
- Experience in integrated marketing, digital agency, marketing services, or consulting environments (preferred).
Details
Read the full description and apply on the company’s own careers page.
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