Myparadigm

Myparadigm

Director of Applied AI & ML Engineering

Irving, TX · Director

Sponsorship not specifiedDetected 68 days ago
AWSGCPAzureCloud PlatformsCI/CDTemporalMachine LearningComputer VisionLLMsRAGAgentic AIMLOpsLangGraphAI OrchestrationA/B TestingProcurementERPLeadershipCommunicationCollaborationBIM

About the role

  • The ideal leader blends technical depth with strategic clarity-able to guide teams across computer vision, large language models, and agentic automation while ensuring reliable, scalable delivery within the construction domain.
  • MyParadigm.com/careers/ http://MyParadigm.com/careers/ #Paradigm

Responsibilities

  • Define and lead the Applied AI & ML strategy for residential construction, identifying and prioritizing use cases that enhance speed, accuracy, and efficiency.
  • Build and maintain a roadmap of agentic AI systems that automate key construction workflows-such as plan interpretation, quantity takeoffs, cost estimation, and material specification optimization, while enabling seamless integration with suppliers, ERP platforms, and technology providers.
  • Partner with Product, Engineering, and Operations leaders to embed AI capabilities into core platforms and customer-facing applications.
  • Lead the design of AI-powered and multi-agent systems that connect workflows across design, estimating, procurement, and field execution.
  • Combine LLMs, CV, and rule-based logic to deliver explainable and auditable systems tailored to construction professionals.
  • Implement best practices in MLOps, data management, and continuous delivery pipelines.
  • Deliver measurable improvements in model quality, reasoning accuracy, and cost efficiency through advanced evaluation methods, such as Evals, zero- and few-shot benchmarking, Chain-of-Thought, and LLM-as-a-judge techniques to guide continuous model refinement.
  • Build, mentor, and lead a cross-functional team of applied AI and ML engineers, partnering closely with product, design, and software engineering teams to deliver production-grade AI-powered systems.
  • Manage vendor relationships and technology partnerships across cloud and AI platforms.
  • Collaborate with design, estimating, and operations teams to identify automation opportunities and ensure successful adoption.

Requirements

  • 12+ years of experience in applied AI, ML, and/or Software engineering, with at least 5 years in a leadership role.
  • Proven success designing and deploying AI-driven systems in production environments.

Nice to have

  • Background in BIM/CAD integration, digital twin platforms, or 3D modeling workflows is preferred.
  • Familiarity with agent orchestration frameworks (Temporal, n8n, LangGraph) and enterprise API integration is preferred.
  • Understanding of AI governance, auditability, and human-in-the-loop validation frameworks is preferred.
  • Experience with Azure, AWS, or GCP cloud platforms for scalable AI deployment is preferred.

Benefits

  • Architect retrieval-augmented generation (RAG) and computer vision pipelines that interpret plan sets, generate takeoffs, and surface contextual insights.
  • Represent the organization's AI vision in external partnerships, technical forums, and industry collaborations.
  • Bachelor's or advanced degree in Computer Science, Machine Learning, or a related field preferred.
  • Expertise in LLMs, computer vision, multimodal models, and retrieval-augmented generation (RAG) architectures.

Company info

  • We are looking for a Director, Applied AI & ML Engineering to be part of revolutionizing these industries.
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This listing is sourced directly from Myparadigm's careers page and normalized into a canonical job model.