Civil Engineering Expert - AI & Data

About CONXAI
CONXAI has built an agentic AI platform for the Architecture, Engineering and Construction (AEC) and physical industries, focused on knowledge-automation. We automate high-stakes, knowledge-intensive workflows traditionally trapped in siloed data, fragmented tools and tacit (undocumented) human expertise.
Our multi-agent systems perform complex reasoning in the physical world; and transform bespoke, service-heavy processes into scalable Service-as-a-Software automation.
CONXAI is trusted by some of the leading AEC companies in Europe, US, LATAM and Japan.
Your Role
Encode the DNA of Construction into our AI
We are looking for a rare hybrid: a Civil Engineering expert who speaks the language of Data Science. You will define how AI understands construction concepts, logic, workflows and site dynamics. You will sit at the intersection of Product, AI Engineering and the Jobsites, ensuring our AI models deliver high-fidelity value to automate complex processes.
Domain Modeling: Translate AEC workflow and methodologies (Lean, TVD, IPD) into logical architecture and ontology for agentic AI
Framework Implementation: Build out the platform’s Domain Knowledge Base, to ensure that the AI understands BIM-to-Field relationships and productivity metrics
Data Strategy: Work alongside our ML team to define and structure high-quality AEC dataset (visual, sensor, and textual) to train agentic models
Product-Ownership: Represent the “voice of customer”. Prioritize the product backlog based on first-principles understanding of construction pain points
Validation: Test AI outputs against industry standards to ensure it delivers practical value in real-world construction scenarios
Who You Are
Top-Tier Pedigree: MS or PhD in Civil Engineering, Construction Management or a related field from a Tier-1 institution
Experience: Proven track record within the construction industry or the ConTech software / SaaS sector
Data Science Literacy: Strong background in data science (Python, SQL, statistical modeling) and understanding of how ML models are trained and validated
Domain Context Engineering: Ability to structure domain knowledge into ontologies for AI training
Modern Delivery Frameworks: Strong practical knowledge of Lean Construction, Target Value Delivery (TVD) and Integrated Project Delivery (IPD)
Communication: Ability to fluently translate complex engineering and construction workflows to ML and product engineers
Why CONXAI
Edge of Innovation: Be at the absolute forefront of AI in the construction tech space
High Autonomy: Own the domain strategy and shape a product that directly impacts how global infrastructure is built
Top-Tier Peer Group: Work with a global team of ML engineers, software engineers and industry practitioners
Equity & Scale: Competitive compensation with significant equity upside

Employment type
Full-Time

Work arrangement
No