Director of Applied AI & ML Engineering

Responsibilities

• Define and lead the Applied AI & ML strategy for residential construction
• Build and maintain a roadmap of agentic AI systems to automate construction workflows
• Partner with Product, Engineering, and Operations leaders to embed AI capabilities into core platforms
• Lead the design of AI-powered and multi-agent systems connecting design, estimating, and procurement
• Architect RAG and computer vision pipelines for plan interpretation and takeoffs
• Oversee the end-to-end ML lifecycle including experimentation, deployment, and monitoring
• Implement best practices in MLOps, data management, and continuous delivery
• Build, mentor, and lead a cross-functional team of applied AI and ML engineers
• Manage vendor relationships and technology partnerships across cloud and AI platforms

Requirements

• 12+ years of experience in applied AI, ML, or Software engineering
• 5+ years in a leadership role
• Proven success designing and deploying AI-driven systems in production environments
• Expertise in LLMs, computer vision, multimodal models, and RAG architectures
• Strong foundation in modern software engineering including APIs, microservices, CI/CD, and containerization
• Hands-on familiarity with ML platforms such as MLflow, Kubeflow, or SageMaker
• Excellent written and verbal communication skills

Preferred Qualifications

• Experience in residential construction technology, estimating, or design automation
• Background in BIM/CAD integration, digital twin platforms, or 3D modeling workflows
• Familiarity with agent orchestration frameworks like Temporal, n8n, or LangGraph
• Experience with Azure, AWS, or GCP cloud platforms
• Understanding of AI governance and human-in-the-loop validation frameworks

About the Company

Paradigm is a software company transforming the way that the residential construction & building product industries operate across the globe.