AI & Automation Engineer (Enterprise)

The AI & Automation Engineer helps teams work smarter by identifying opportunities to automate manual processes and apply AI where it can add meaningful value. Working across Business Applications, Data & Analytics, and IT, you will build practical solutions that simplify work, improve efficiency, and support business outcomes.

This role reports to the VP of Business Systems.

Please note: This role requires hands-on coding experience, and candidates should be prepared to demonstrate their technical skills during the interview process.

Partner with teams across Business Applications, Data & Analytics, and IT to identify opportunities for automation and AI enablement.

Analyze and document business processes, assess potential solutions, and recommend the most effective approach.

Design, build, configure, and integrate automation and AI-enabled solutions across enterprise systems and platforms.

Test, deploy, and monitor solutions to ensure reliability, security, and successful business outcomes.

Create documentation, deliver training, and transition solutions to process owners for ongoing support and maintenance.

Stay current on emerging AI and automation capabilities and recommend new opportunities to improve efficiency and effectiveness.

4+ years of experience designing and delivering automation, integration, or AI-enabled solutions in a business or enterprise environment.

Experience applying AI to business workflows using platforms such as Claude, Copilot, Gemini, or similar tools, with the ability to evaluate where AI adds value and an understanding of risks related to accuracy, data handling, and appropriate use.

Hands-on experience with automation platforms, enterprise business systems (e.g., Salesforce, NetSuite, Jira Service Management, Microsoft 365), APIs, integrations, and at least one scripting or programming language (Python, PowerShell, JavaScript/TypeScript, C#, or Bash ), along with working knowledge of SQL and structured data formats such as JSON and YAML.

Strong process analysis skills, with the ability to identify opportunities for automation, simplification, and operational improvement.

Experience testing, deploying, documenting, and supporting solutions in a production environment.

Ability to communicate effectively with both technical and non-technical stakeholders and translate business needs into practical solutions.

Strong problem-solving skills and the ability to manage multiple priorities independently.