Paradigm · 10 hours ago
Director of Applied AI & ML Engineering
United States
Full-time
Remote
Director/Executive
12+ years expParadigm is a software company transforming the way that the residential construction & building product industries operate across the globe. The Director of Applied AI & ML Engineering will lead the strategy, architecture, and deployment of intelligent systems that transform how homes are designed, estimated, and built.
CRMInformation TechnologyService IndustrySoftwareTransaction Processing
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
Architect retrieval-augmented generation (RAG) and computer vision pipelines that interpret plan sets, generate takeoffs, and surface contextual insights
Combine LLMs, CV, and rule-based logic to deliver explainable and auditable systems tailored to construction professionals
Ensure architectural scalability, performance, and observability in all deployed systems
Oversee the end-to-end ML lifecycle—from experimentation and model development to deployment, monitoring, and iteration
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
Foster a culture of collaboration, experimentation, and responsible AI development
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
Translate complex AI concepts into clear direction for business and product stakeholders
Represent the organization’s AI vision in external partnerships, technical forums, and industry collaborations
Qualification
Required
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
Expertise in LLMs, computer vision, multimodal models, and retrieval-augmented generation (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 for model training and deployment
Demonstrated ability to collaborate across engineering, product, and operations in a complex technical environment
Excellent written and verbal communication skills for both technical and executive audiences
Preferred
Bachelor's or advanced degree in Computer Science, Machine Learning, or a related field
Experience in residential construction technology, including estimating, takeoffs, or design automation
Background in BIM/CAD integration, digital twin platforms, or 3D modeling workflows
Familiarity with agent orchestration frameworks (Temporal, n8n, LangGraph) and enterprise API integration
Understanding of AI governance, auditability, and human-in-the-loop validation frameworks
Experience with Azure, AWS, or GCP cloud platforms for scalable AI deployment
Company
Paradigm
Paradigm provides a software platform that focuses on the building products industry.
501-1000 employees
H1B Sponsorship
Paradigm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (4)
2023 (1)
2022 (1)
2021 (4)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
unknown2021-06-29Acquired
Leadership Team
L
Lyn Hartl
Founder/Owner
Recent News
2025-10-01
2025-07-08
Company data provided by crunchbase