AI Automation Engineer

Were building the future of intelligent systemsand were looking for an Automation Engineer to help lead the charge. In this role, youll design, build, and deploy scalable automation solutions that drive efficiency, reduce manual work, and accelerate innovation across the organization.

Youll work closely with teammates in Information Technology as well as business stakeholders to identify automation opportunities and turn them into reliable, AI-driven workflows. From robotic process automation (RPA) to workflow orchestration and generative AI, your work will have a measurable impact in helping to shape the company's future.

Essential Duties and Responsibilities:

Design, develop, and maintain automation solutions using tools like Python, RPA platforms, and custom scripts

Build game-changing, AI-powered virtual assistants, conversational interfaces, and other generative experiences for both internal and external audiences.

Collaborate with cross-functional teams to analyze business processes and identify automation opportunities

Integrate AI/ML models into automation workflows to enable intelligent decision-making and predictive analytics.

Develop APIs, Azure Function Apps, and microservices to support scalable, modular automation systems

Monitor performance and troubleshoot solutions to ensure reliability and scalability

Develop documentation, test cases, and operational playbooks to support ongoing maintenance and improvements

Ensure all development activities are in keeping with information security best practices

Stay current with automation trends, AI integration techniques, and emerging tools

Skills/Experience Required:

2+ years of experience in AI development, automation engineering, software development, or related field

Experience with building generative AI tools (leveraging platforms like Microsoft Copilot Studio, Azure AI Foundry, etc.), and successfully integrating them for effective business use.

Demonstrated success in designing and deploying automation solutions with RPA tools (Power Automate, UiPath, etc.) or custom automation frameworks

Proficiency in one or more programming languages (e.g., Python, JavaScript, C#) and development tools such as Cursor and Windsurf

Strong understanding and practical experience with leading LLMs (e.g., OpenAI, Gemini, grok, Claude), including expertise in prompt engineering and advanced techniques for managing LLM context and conversational memory

Experience with databases (Microsoft SQL Server) and data integration concepts

Familiarity with DevOps and CI/CD practices including tools like Azure DevOps

Excellent analytical, communication, and collaboration skills