Domain Expert in Residence
About the job
- At least 6 years of professional experience in one or more of architecture, structural engineering, mechanical, electrical, and plumbing engineering, construction or project management, or quality assurance/quality control or code compliance.
- Deep familiarity with real architecture, engineering, and construction workflows and project deliverables.
- Ability to articulate how architecture, engineering, and construction work is performed in practice.
- Curiosity about artificial intelligence tools and automation; machine learning experience is not required.
- Define real-world architecture, engineering, and construction task specifications for artificial intelligence agents, including drawing reviews, code compliance, requests for information, submittals, specification review, quality assurance/quality control, and coordination.
- Create and label gold-standard datasets from real project artifacts, including drawings, specifications, requests for information, and submittals.
- Design evaluation rubrics for agent outputs based on severity, discipline, correctness, and usefulness.
- Co-design default workflows that ship to customers.
- Pressure-test agents against real-world project scenarios and common failure modes.
- Partner closely with product, machine learning, and engineering teams to translate domain practice into scalable artificial intelligence systems.
- Experience with quality assurance/quality control processes or design reviews.
- Familiarity with building codes, including the International Building Code, Americans with Disabilities Act, National Fire Protection Association standards, and local codes.
- Experience writing standards, checklists, or internal review frameworks.
- Interest in product development.
About the company
Nomic AI builds tools to deploy AI across unstructured data like text and images. Its flagship Nomic Atlas visualizes large datasets and model outputs with mapping and clustering, accessible via production-ready APIs for easy integration. It also offers GPT4All, a private on-device large language model chatbot that runs locally for offline, privacy-preserving AI interactions. The company blends a commercial data-visualization/AI-deployment platform with open-source components (MIT-licensed multilingual embeddings) to serve developers and business leaders who need private, scalable AI tooling.
Company Size
11-50
Company Stage
Early VC
Total Funding
$17M
Headquarters
New York City, New York
Founded
2022
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Simplify's Take
What believers are saying
- Arcadis trialed Nomic with 150 engineers across 12 countries before investing in 2026.
- Aurecon is expanding Nomic across 6,700 employees after a four-year partnership.
- Nomic released state-of-the-art multimodal and code models in 2025, boosting product credibility.
What critics are saying
- OpenAI, Google Gemini, and other foundation providers compress Nomic's embedding differentiation quickly.
- Revenue concentration risk rises if Aurecon or Arcadis pilots fail by 2027.
- Open-source licensing and limited funding make enterprise monetization an existential scaling test.
What makes Nomic AI unique
- Nomic targets AEC workflows with Atlas agents for drawings, specs, and compliance.
- Open-source models like Nomic Embed Multimodal and Nomic Embed Code reinforce developer trust.
- Aurecon and Arcadis strategic investments validate vertical specialization across 2026 deployments.
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Benefits
Health Insurance
Unlimited Paid Time Off
Hybrid Work Options
Growth & Insights and Company News
6 month growth
-3%1 year growth
-3%2 year growth
-7%Asia Pacific engineering consultancy Aurecon has announced a strategic investment in technology company Nomic, building on a four-year working partnership. The collaboration helped shape Nomic's industry-specific AI capabilities for engineering, design and project delivery. The investment will expand access to Nomic's platform across Aurecon's entire workforce. Unlike many AI tools, Nomic's platform is built specifically for engineering and project delivery sectors and is designed to deliver greater impact for clients.
Arcadis has invested in Nomic, an AI platform designed for the built environment, following a six-month trial involving 150 engineers across 12 countries. The partnership aims to embed AI agents into core project workflows, including drawing review, code compliance checks, and BIM coordination. During the trial, 86% of participating engineers reported that Nomic changed how they approach their work, with one workflow reducing several days of manual document cataloguing to hours. The platform integrates with tools Arcadis teams already use, including Autodesk Forma and Bentley ProjectWise. Arcadis plans to use Nomic's technology to accelerate project delivery, improve accuracy, and create more scalable working methods whilst maintaining human expertise at the centre of operations.
Arcadis accelerates AI-enabled project delivery through strategic investment in Nomic
Nomic has announced the release of "Nomic Embed Multimodal," a groundbreaking embedding model that achieves state-of-the-art performance on visual document retrieval tasks.
To launch, NatML Inc. has partnered up with Nomic, pioneers of the on-device AI movement, and the makers of the popular GPT4All app.