AI & Automation Engineer

Key Responsibilities

AI & Automation Development

• Design, develop, and deploy AI-powered solutions (e.g., predictive analytics, document processing, intelligent assistants, computer vision where applicable).

• Build and maintain automation workflows using tools such as RPA, low-code/no-code platforms, APIs, and custom scripts.

• Develop models and systems that integrate with ERP, payroll, HRIS, project management, accounting, and field data systems.

Enterprise Enablement

• Partner with individual operating companies to identify automation and AI opportunities aligned with their unique workflows.

• Create reusable frameworks and templates that can be adapted across multiple operating companies.

• Balance standardization with flexibility to support decentralized business units.

Data & Integration

• Work with structured and unstructured data from multiple sources (financial systems, project data, contracts, invoices, timesheets, etc.).

• Build and maintain secure data pipelines and integrations.

• Ensure data quality, governance, and compliance across systems.

Strategy & Innovation

• Identify high-impact use cases for AI and automation across construction operations, back-office functions, and shared services.

• Stay current on emerging AI technologies and evaluate their applicability to the organization.

• Contribute to the long-term AI and automation roadmap.

Documentation & Support

• Document solutions, workflows, and best practices.

• Train end users and provide ongoing support for deployed solutions.

• Collaborate with IT, security, and business stakeholders to ensure stability and scalability.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience).

• 3–7+ years of experience in automation, AI, machine learning, or software engineering.

• Hands-on experience with automation tools (RPA platforms, scripting, APIs, workflow tools).

• Strong programming skills in Python, JavaScript, or similar languages.

• Experience working with databases, data pipelines, and cloud platforms.

• Ability to translate business problems into technical solutions.

• Strong communication skills and comfort working with non-technical stakeholders.