Artificial Intelligence Engineer

The Artificial Intelligence Engineer will design, develop, and deploy AI/ML solutions that enhance engineering, construction, and business processes. This role bridges advanced technology and practical application, ensuring AI systems deliver measurable value across projects and functions., * Design, build, and implement AI/ML models for predictive analytics, generative design, and automation.

• Convert prototypes into production-ready applications using frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Data engineering and integration
• Collaborate with data engineers to develop robust data pipelines and architectures.
• Apply ETL techniques and big-data tools to cleanse, organize, and transform data for AI models.
• Deployment and optimization
• Deploy AI models on cloud platforms (Azure AI/ML, Databricks) and integrate with the client’s digital ecosystem.
• Implement MLOps practices for lifecycle management, monitoring, and continuous improvement.
• Collaboration and stakeholder engagement
• Work with cross-functional teams (engineering, IT, project controls) to align AI solutions with business objectives.
• Communicate complex AI concepts to non-technical stakeholders.
• Governance and compliance
• Ensure AI solutions adhere to security, ethics, and compliance standards.
• Maintain documentation for models, processes, and decision-making.
• Innovation and continuous learning
• Stay current with emerging AI technologies (e.g., agentic AI, multimodal systems).
• Contribute to initiatives and innovation programs focused on AI advancements.

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field. Master’s degree preferred.
• 8-12 years of relevant experience in AI/ML development or 12-15 years of related work experience without a degree.
• Proficiency in Python and AI frameworks (TensorFlow, PyTorch).
• Experience with cloud platforms (Azure AI stack, Databricks).
• Knowledge of MLOps, containerization (Docker/Kubernetes), and CI/CD pipelines.
• Understanding of engineering and construction workflows is a plus.
• Strong problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Familiarity with Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
• Experience with knowledge graphs, agent-based AI systems, and predictive analytics.