Director, AI & Data Science

The role

You will lead a team of AI and machine learning engineers and managers to design and deliver production-grade AI solutions. You will drive architecture and model decisions, partner with clients on pre-sales, and define technical practices for context engineering and agent harnesses.

What you will do

• Lead the design, build, and optimization of production AI systems.
• Define and standardize context engineering practices.
• Direct the build of robust agent harnesses.
• Lead the design and operation of fine-tuning and model adaptation pipelines.
• Architect and deploy solutions on Google Gemini Enterprise and Vertex AI.
• Manage, mentor, and develop a team of AI and ML engineers.
• Support pre-sales activities including scoping, demos, and presenting architectures.
• Oversee the development of classical and modern ML models.
• Partner with senior leadership to shape GenAI architecture direction and platform roadmap.

Required qualifications

• 8+ years of experience in Data Science and machine learning.
• 2–3 years working on LLM architecture, agentic design, and harness and context engineering.
• Expertise in generative AI/LLM engineering and classical machine learning modeling with proven production deployments.
• Master’s degree (or higher) in computer science, engineering, statistics/mathematics, or a related field.
• Hands-on command of core machine learning libraries (scikit-learn, XGBoost, etc.).
• Hands-on command of agentic SDKs (LangGraph/LangChain, Google ADK, Claude Agent SDK).
• Hands-on command of fine-tuning frameworks (PyTorch, TensorFlow).
• Experience building fine-tuning pipelines end to end.
• Solid grasp of AI system design including MLOps, agents, tool use, evaluation harnesses, guardrails, and observability.
• 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 pre-sales.

Nice to have

• Google Gemini Enterprise ecosystem (Vertex AI, Agent Builder) as the primary stack; basic knowledge of Microsoft AI Foundry and AWS Bedrock

Benefits

• competitive benefits

About the company

Artefact is a consulting firm that transforms data into value and business impact. It has 2000 employees across 36 offices and specializes in data, analytics and AI consulting.