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About the Role
Artefact is a consulting firm that transforms data into value and business impact, recently launched in the US with offices in NYC and Los Angeles. You will lead a team of AI & machine learning engineers and managers, driving the design and delivery of production-grade AI solutions and their supporting pipelines. You will bring senior technical judgment to architecture and model decisions, partner closely with clients and business stakeholders, and define how context engineering, agent harnesses, and fine-tuning practices are embedded into every solution.
Responsibilities
- Lead the design, build, and optimization of production AI systems, ensuring scalability, reliability, and cost-efficient inference.
- Define and standardize context engineering practices for optimal model information delivery.
- Direct the build of robust agent harnesses for reliable, safe, and measurable LLM systems.
- Lead the design and operation of fine-tuning and model adaptation pipelines.
- Architect and deploy solutions on Google Gemini Enterprise and Vertex AI, with knowledge of Microsoft AI Foundry and AWS Bedrock.
- Manage, mentor, and develop a team of AI & ML engineers, setting technical standards and fostering best practices.
- Support pre-sales activities, including scoping, demos, and solution architecture presentations.
- Oversee the development of classical and modern ML models, selecting appropriate techniques for business problems.
- Partner with senior leadership to shape GenAI architecture direction, tooling, and platform roadmap.
Requirements
- Substantial Data Science and machine learning background with 8+ years of experience.
- At least 2–3 years working on LLM architecture, agentic design, and harness & context engineering.
- Expertise in generative AI/LLM engineering (context engineering, agent harnesses, RAG, and fine-tuning).
- Expertise in classical machine learning modeling with proven production deployments.
- 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: training data curation, supervised fine-tuning, evaluation, and deployment.
- 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 and comfort collaborating across teams and with stakeholders.
- Strong business acumen with an interest in business-facing work.
- Adaptability and a start-up mentality.
Skills
- Data Science
- Machine Learning
- LLM Architecture
- Agentic Design
- Context Engineering
- Harness Engineering
- Generative AI
- Classical Machine Learning Modeling
- scikit-learn
- XGBoost
- LangGraph
- LangChain
- Google ADK
- Claude Agent SDK
- PyTorch
- TensorFlow
- MLOps
- Google Gemini Enterprise
- Vertex AI
- Microsoft AI Foundry
- AWS Bedrock
Location
- NYC
- Los Angeles
Work Type
- Hybrid
Experience Level
- 8+ years of experience
- 2-3 years working on LLM architecture, agentic design, and harness & context engineering
Education Level
- Master’s degree (or higher) in computer science, engineering, statistics/mathematics, or a related field.
Salary/Compensations
- $200,000
Benefits
- Competitive benefits
About the Company
- Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations.
- We help clients grow their data and digital capabilities.
- We have 2000 employees across 36 offices focused on accelerating digital transformation.
- Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts bring extra value to every client.
- We design data-based solutions to meet clients' specific needs with a business-centric approach and tangible results.
- Our data-driven services are built upon deep AI expertise acquired with our 1000+ client base globally.