Drimva

Artefact

Director, AI & Data Science

$200K

135 W 26th Street, New York, NY 10001 +3 · Director · Full-time · Posted Jul 13, 2026

Location
135 W 26th Street, New York, NY 10001
Montréal, Quebec, Canada
Montréal, Quebec, Canada
North America
Experience
8+ years in data science and machine learning, including at least 2–3 years working on LLM architecture, agentic design, and harness and context engineering.
Education
Master’s degree or higher in computer science, engineering, statistics/mathematics, or a related field.

About the job

Leads a team delivering production AI and machine-learning solutions for clients, while shaping architecture, supporting pre-sales, and contributing to AI strategy.

What you'll do

  • Lead the design and delivery of production AI systems, including machine-learning models, LLM applications, agentic systems, and fine-tuning pipelines.
  • Manage and develop AI and ML engineers, and set technical standards and practices.
  • Support client-facing pre-sales work, including scoping, proposals, demos, proofs of concept, and solution architecture presentations.

What they ask for

  • Expertise in generative AI/LLM engineering and classical machine-learning modeling, with proven production deployments.
  • Hands-on command of machine-learning libraries, agentic SDKs, and fine-tuning frameworks.
  • Deep experience with Google Gemini Enterprise / Vertex AI; basic working knowledge of Microsoft AI Foundry and AWS Bedrock.
  • Experience leading and growing engineering teams and supporting client pre-sales.

Nice to have

  • Google Gemini Enterprise ecosystem, including Vertex AI and Agent Builder.
  • Basic knowledge of Microsoft AI Foundry and AWS Bedrock.

Pay

$200,000 USD base salary (starts at; NYC location)

Tools

Google Gemini Enterprise, Vertex AI, Microsoft AI Foundry, AWS Bedrock, scikit-learn, XGBoost, LangGraph/LangChain, PyTorch

AI focus

Leads production AI delivery spanning classical ML, LLM applications, agentic systems, context and harness engineering, RAG, fine-tuning, and AI strategy.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)