AI Data Architect

At Trunk Tools, we are tackling the massive $13 trillion+ construction industry. We’re an exceptional team of serial entrepreneurs, brought together by our shared mission: automating construction. Our founding team (SpaceX, Stanford, MIT, Carta, etc.) has successfully built and deployed software in construction for 140k+ users, millions of users beyond the construction space, and worked on +$2 billion of built-environment projects. We aren’t another out-of-touch tech startup, most of our team comes from construction. 

We spent the last few years building the brain behind construction. Now we are deploying workflows/ agents, starting with Q&A document chatbot, to be ingrained in construction teams’ workflows, ultimately to automate construction. Given our immense traction with several Fortune 500 construction companies,  we are doubling our team (currently 45 FTE) in order to deploy several more agents this year. You will have an opportunity to drive the transformation of a multi-trillion-dollar industry full of waste, risks and inefficiencies.

What you will do and achieve:

• Design and implement scalable data architectures specifically optimized for AI/ML systems and AI-driven applications (including vector and graph databases)

• Design and develop schemas, data models, and APIs to power RAG workflows and agentic systems

• Lead the integration of structured and unstructured data sources, ensuring fast, reliable retrieval and context for AI models

• Collaborate with ML engineers to optimize data pipelines for model training, validation, inference, and feedback loops

• Architect data versioning systems that maintain alignment between models and their training data

• Evaluate emerging data technologies and drive adoption across AI initiatives

Who you are:

• BS/MS in Computer Science, Data Science, or a related technical field

• 5+ years of experience in data architecture, with at least 2 years focused on large-scale AI/ML data systems

• Expert knowledge of modern databases (e.g., vector stores, graph databases) and distributed systems

• Proven track record designing robust data models for both traditional and AI-specific applications

• Hands-on experience with data quality monitoring for machine learning applications

• Proficiency with data orchestration tools and ETL/ELT processes for AI pipelines

• Experience with cloud infrastructure (AWS, GCP) and containerized deployments (Docker, Kubernetes)

• Familiarity with RAG systems and agentic applications

• Bonus: Experience with MLOps and feature stores

• Bonus: Knowledge of multimodal data architectures for vision + text systems

• Bonus: Familiarity with construction data

Preferred but not required: 

• Experience with MLOps and feature stores

• Knowledge of multimodal data architectures for vision + text systems

• Familiarity with construction data

What we offer 😎

• 🎖️ A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters.

• 💰 Competitive salary and stock option equity packages.

• 🏥 3 Medical Plans to choose from including 100% covered option. Plus Dental and Vision Insurance!

• 💰 401K

• 🤓 Learning & Growth stipend.

• 🥨 Free lunch provided in NYC and Austin office - you’ll never go hungry with us!

• 🛫 Unlimited PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation.

• 🏝 IRL / In-Person retreats throughout the year.

We realize applying for jobs can feel daunting at times. We don’t expect you to check all the qualification boxes and encourage you to apply if you have experience in some of the areas.

At Trunk Tools, we’re working hard to build a more productive and safer environment within the construction industry, and we strive to live by these same values here at Trunk Tools HQ. As an equal-opportunity employer, we are committed to building an inclusive environment where you can be you. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, or any other legally protected class.