Director, AI & Data Science
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Key skills for this role
About the Role
Artefact seeks a Director of AI & Data Science to lead a team of AI/ML engineers, driving production-grade AI solutions from classical ML to LLM applications. The role involves AI/ML solution architecture, context engineering, harness engineering, fine-tuning pipelines, and pre-sales support.
Key Skills for This Role
Responsibilities
- Lead the design, build, and optimization of production AI systems including classical ML models, LLM applications, and agentic systems
- Define and standardize context engineering practices such as prompt design, RAG architectures, vector stores, memory management, and tool/function calling
- Direct the build of robust agent harnesses including orchestration layers, evaluation frameworks, guardrails, and observability
- Lead the design and operation of fine tuning and model adaptation pipelines
- Architect and deploy solutions on Google Gemini Enterprise and Vertex AI as the primary stack
- Manage, mentor, and develop a team of AI & ML engineers
- Support pre sales activities including scoping engagements, building demos and proofs of concept, and presenting solution architectures
- Oversee development of classical and modern ML models such as predictive modeling, forecasting, recommendation, and deep learning
- Partner with senior leadership to shape GenAI architecture direction, tooling decisions, and platform roadmap
Requirements
- 8+ years of data science and machine learning experience
- 2 3 years working on LLM architecture, agentic design, and harness & context engineering
- Master's degree or higher in computer science, engineering, statistics/mathematics, or related field
- Hands on command of core ML libraries (scikit learn, XGBoost, etc.), agentic SDKs (LangGraph/LangChain, Google ADK, Claude Agent SDK), and fine tuning frameworks (PyTorch, TensorFlow)
- Experience building fine tuning pipelines end to end
- Solid grasp of AI system design: ML model lifecycle (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
- Experience supporting pre sales: proposals, demos, and solution scoping with clients
- Excellent communication skills
- Strong business acumen
Full Job Posting
About The Job
- Artefact is a next generation consulting firm specializing in data, analytics & AI consulting, with over 2000 employees across 36 offices.
- The role is for a Director, AI & Data Science to lead a team of AI & machine learning engineers and managers.
What You Will Be Doing
- Leading the design, build, and optimization of production AI systems — classical ML models, LLM applications, and agentic systems.
- Defining and standardizing context engineering practices — prompt and system design, RAG architectures, vector stores, memory management, and tool/function calling.
- Directing the build of robust agent harnesses — orchestration layers, evaluation frameworks, guardrails, and observability.
- Leading the design and operation of fine tuning and model adaptation pipelines.
- Architecting and deploying solutions on Google Gemini Enterprise and Vertex AI as the primary stack.
- Managing, mentoring, and developing a team of AI & ML engineers.
- Supporting pre sales activities — scoping engagements, building demos and proofs of concept, and presenting solution architectures.
- Overseeing the development of classical and modern ML models — predictive modeling, forecasting, recommendation, and deep learning.
- Partnering with senior leadership to shape GenAI architecture direction, tooling decisions, and platform roadmap.
What We Are Looking For
- 8+ years of data science and machine learning experience, including at least 2–3 years working on LLM architecture, agentic design, and harness & 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 ML libraries (scikit learn, XGBoost, etc.), agentic SDKs (LangGraph/LangChain, Google ADK, Claude Agent SDK), and fine tuning frameworks (PyTorch, TensorFlow).
- Experience building fine tuning pipelines end to end.
- Solid grasp of AI system design: ML model lifecycle (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.
- Excellent communication skills and comfort collaborating across teams and with stakeholders.
- Strong business acumen with an interest in business facing work.
Why Join Us
- Estimated base compensation starts at CAD 200,000 (NYC location).
- Eligible for competitive benefits.
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