Head of AI, Data Science & Platform Architecture

Artefact North America; New York (NY); Vor Ort; USD 200.000 - 260.000; Vollzeit

Zusammenfassung

Artefact North America seeks a seasoned AI/ML leader to drive architecture, design and delivery of production-grade AI systems, including LLM applications and agentic platforms.

You will guide context engineering, harness design, and fine-tuning pipelines, while collaborating with clients and stakeholders to shape proposals and strategies. A strong background in data science and leadership is essential for this role.

Qualifikationen

• Substantial Data Science and ML background with 8+ years of experience.
• 2–3 years working on LLM architecture, agentic design, and harness & context engineering.
• Hands-on proficiency with ML libraries and fine-tuning frameworks.

Aufgaben

• Lead design, build, and optimization of production AI systems including LLM apps and agentic systems.
• Define and standardize context engineering practices (prompt/system design, RAG, vector stores).
• Direct robust agent harnesses and evaluation frameworks for reliable production systems.
• Oversee end-to-end fine-tuning pipelines: data curation, supervised fine-tuning, evaluation, deployment.
• Architect, deploy, and optimize solutions on Gemini Enterprise and Vertex AI; leverage Azure offering where needed.
• Lead and grow AI/ML engineers; support pre-sales with demos and solution scoping.

Kenntnisse

Data Science

ML Engineering

LLM Architecture

Context Engineering

Agent Harnesses

MLOps

Team Leadership

Ausbildung

Master's degree in CS/Engineering/Math or related field

Tools

LangChain

LangGraph

Vertex AI

Google Gemini Enterprise

PyTorch

TensorFlow

XGBoost

scikit-learn

Claude Agent SDK

Jobbeschreibung

Artefact North America seeks a seasoned AI/ML leader to drive architecture, design and delivery of production-grade AI systems, including LLM applications and agentic platforms.

You will guide context engineering, harness design, and fine-tuning pipelines, while collaborating with clients and stakeholders to shape proposals and strategies. A strong background in data science and leadership is essential for this role.