Lead AI Engineer

Role Overview We are seeking a Lead AI/ML Engineer to design, build, and deploy production-grade artificial intelligence solutions across construction workflows. This role requires strong hands-on expertise in machine learning, data science, and generative AI systems, combined with the ability to lead delivery and mentor engineering teams. You will work at the intersection of engineering, data science, and business, translating complex construction challenges into scalable AI-driven solutions. Key Responsibilities AI Solution Development and Delivery Design and implement scalable machine learning systems, including data pipelines, model training workflows, and real-time inference architectures. Develop and deploy generative AI applications, including Retrieval-Augmented Generation (RAG) pipelines, enterprise copilots, and intelligent assistants. Build and integrate AI solutions into production environments using APIs, microservices, and model-serving frameworks. Ensure robustness, scalability, and performance of AI systems in production. Applied Data Science and Machine Learning Develop predictive models, optimization algorithms, and deep learning systems for construction use cases. Apply statistical methods, feature engineering, and experimentation frameworks to evaluate and improve model performance. Conduct A/B testing and model validation to measure impact and reliability. Generative and Agentic AI Implementation Implement LLM-based applications including prompt engineering, embeddings, and vector search systems. Contribute to agent-based workflows and orchestration frameworks for semi-autonomous automation. Integrate structured and unstructured enterprise data into AI systems. Technical Leadership Lead a team of ML engineers and data scientists to deliver high-quality AI solutions. Establish and enforce engineering standards, code quality practices, and system design principles. Guide debugging, optimization, and scaling of AI systems in distributed environments. Collaboration and Execution Collaborate with product managers, business stakeholders, and engineering teams to align AI solutions with business objectives. Communicate technical concepts clearly to both technical and non-technical stakeholders. Technical Skills and Expertise Strong programming expertise in Python Hands-on experience with deep learning frameworks such as PyTorch and TensorFlow Experience with Large Language Models (LLMs), RAG, embeddings, and vector databases Understanding of distributed systems and scalable AI architectures Experience with MLOps practices including CI/CD, monitoring, and model versioning Familiarity with AWS, Azure, or GCP Qualifications 8 12 years of experience in AI/ML, data science, or software engineering Strong foundation in ML, deep learning, and statistics Experience delivering AI systems in production Success Metrics Deployment of scalable AI solutions with measurable business impact Improvement in model performance and system reliability Adoption of AI solutions across teams Role in Construction AI Transformation Enable AI-driven decision-making across planning and execution Build AI copilots for engineering and project teams Automate workflows and improve productivity Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.