AI Engineer

• Architect practical AI solutions that enable product leaders and teams to meet their goals
• Serve as the primary technical consultant for product and architecture leaders during AI system design and implementation
• Guide teams developing and maintaining a reusable AI tools platform, including a central LLM client and evaluation harness
• Determine when to use frontier LLMs, bespoke machine learning models, or traditional NLP based on performance, cost, and speed
• Lead development of dedicated and bespoke ML models for specialized tasks
• Oversee internal services evolving into a central hub for LLM interactions
• Create and maintain a standardized LLM client with a unified API for OpenAI, Anthropic, and open-source models
• Expand reusable code libraries, tools, and vetted prompts to accelerate product team development
• Standardize and improve the internal skills library for development
• Own and enhance the model evaluation harness for prototyping, A/B testing, and AI quality measurement
• Own the AI gateway solution, including user support, configuration refinement, efficiency monitoring, and cost monitoring
• Report to leadership on AI initiative value, ROI, and total cost of ownership
• Establish and govern best practices across the ML lifecycle, including prompt engineering, data privacy, model safety, and MLOps

AI Engineer jobs in North America

Principal Applied AI Engineer