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About the Role

Artefact is a next-generation consulting firm specializing in data, analytics & AI consulting, dedicated to transforming data into business impact. We are expanding in the US and seeking individuals to join our founding team.

Responsibilities

Lead a team of AI & machine learning engineers and managers, driving the design and delivery of production-grade AI solutions and their pipelines.
Bring senior technical judgment to architecture and model decisions.
Partner closely with clients and business stakeholders, including hands-on pre-sales work.
Define how context engineering, agent harnesses, and fine-tuning practices are embedded into solutions.
Report into senior AI/technology leadership on strategy and priorities.
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 software engineering and AI background with 8+ years of experience.
At least 2–3 years working on LLM architecture, agentic design, and harness & context engineering.
Strong expertise in generative AI/LLM engineering (context engineering, agent harnesses, RAG, agentic coding).
Strong expertise in cloud-native software architecture with proven production deployments.
Hands-on command of agentic SDKs (LangGraph/LangChain, Google ADK, Claude Agent SDK).
Hands-on command of agentic coding tools (Claude Code, Gemini CLI, Cursor).
Hands-on command of modern full-stack frameworks (TypeScript/React front ends; Python/Node backends).
Experience designing cloud architectures: microservices, serverless, containers/Kubernetes, CI/CD, and infrastructure as code.
Solid grasp of AI system design: agents, tool use, evaluation harnesses, guardrails, observability, and LLMOps.
Experience with data & context modeling and ingestion/processing pipelines on data lakes and data warehouses.
Experience with vector and graph storage strategies (embeddings, knowledge graphs).
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 to thrive in a dynamic environment.
Experience with multi-agent systems, tool-calling protocols (e.g. MCP), and LLM observability/evaluation tooling (preferred).
Google Gemini Enterprise ecosystem (Vertex AI, Agent Builder) as the primary stack; basic knowledge of Microsoft AI Foundry and AWS Bedrock (preferred).

Skills

Generative AI/LLM Engineering
Context Engineering
Agent Harnesses
RAG
Agentic Coding
Cloud-Native Software Architecture
Agentic SDKs
Agentic Coding Tools
Full-Stack Frameworks
Cloud Architectures
Microservices
Serverless
Containers/Kubernetes
CI/CD
Infrastructure as Code
AI System Design
Agents
Tool Use
Evaluation Harnesses
Guardrails
Observability
LLMOps
Data & Context Modeling
Data Ingestion/Processing Pipelines
Vector Storage
Graph Storage
Embeddings
Knowledge Graphs
Google Gemini Enterprise
Vertex AI
Microsoft AI Foundry
AWS Bedrock
Team Leadership
Pre-Sales Support
Communication
Collaboration
Business Acumen
Adaptability
Start-up Mentality
Multi-agent Systems
Tool-calling Protocols
LLM Observability/Evaluation Tooling

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, software engineering, or a related field.

Salary/Compensations

$200,000 (NYC location)

Benefits

Competitive benefits

About the Company

Artefact is a consulting firm that transforms data into value and business impact.
Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting.
We have 2000 employees across 36 offices who are 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 are all dedicated to bringing extra value to every client.
We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results.
Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.
We are united by our values and strengthened by our hybrid expertise.