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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 integral members for 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 shaping proposals and solution designs.
- Define how context engineering, agent harnesses, and fine-tuning practices are embedded into every solution.
- 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, building demos, and presenting solutions.
- 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.
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 Architecture
- 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
Location
- NYC
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 next-generation consulting firm specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations.
- Founded and headquartered in Paris, Artefact has 2000 employees across 36 offices globally.
- We help clients grow their data and digital capabilities.
- Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of experts accelerate digital transformation.
- We design data-based solutions with a business-centric approach and deliver tangible results.
- Our data-driven services are built upon deep AI expertise with a 1000+ client base.