AI Solutions Developer

AI Solutions Developer

About Continental:

Continental Aerospace Technologies™ has been a leader in aviation innovation for more than 120 years, continually pushing the limits of general aviation and shaping the evolution of aircraft performance and reliability. Today, we are a global force with a full range of gasoline and Jet-A engines, across three continents. Built on a legacy of engineering excellence, technological advancement, and a strong commitment to safety, Continental continues to deliver industry-leading engine solutions while opening the door to exciting careers for those who want to help shape the future of flight.


At Continental, you're not just joining an industry leading aviation company-you're joining a team that truly loves what we do. Our T.E.A.M. values-Transparency, Efficiency, Accountability, and Morality-which guide how we work, collaborate, and support one another. We're proud to foster an environment where every voice matters, every idea is valued, and every employee has room to grow. If you're driven by progress and passionate about shaping the future, Continental Aerospace Technologies™ offers a career path that lets you grow and make a difference.


Position Summary:

• Continental Aerospace Technologies is seeking an AI Solutions Developer to accelerate the automation of business processes using AI technologies within the Microsoft ecosystem, including Power Platform, Copilot, Azure AI, and Microsoft 365. This role will help expand delivery capacity, reduce manual effort, improve turnaround time and solution quality, and scale secure, maintainable AI-driven workflows across the organization.
• The AI Solutions Developer will work cross-functionally with business stakeholders to identify automation opportunities, design practical AI-enabled solutions, and implement governed workflows that improve decision support, operational efficiency, and business process execution.

Key Responsibilities:

• Design, build, and maintain AI-driven workflow automation solutions using Microsoft Power Platform, Copilot, Azure AI, and Microsoft 365.
• Partner with business teams to identify, evaluate, and prioritize opportunities for AI-enabled process improvement.
• Develop secure, scalable, and maintainable automation solutions that reduce manual effort and improve business turnaround time.
• Integrate Microsoft 365, Azure AI, and Power Platform capabilities to support process improvement and decision support.
• Translate business requirements into technical solution designs, prototypes, and production-ready workflows.
• Collaborate with stakeholders to test, validate, and refine AI solutions for usability, reliability, and business value.
• Apply governance, security, and maintainability principles when designing AI-powered workflows and integrations.
• Document solution architecture, workflow logic, user guidance, and support procedures.
• Monitor implemented solutions for effectiveness, adoption, and opportunities for enhancement.
• Stay current with Microsoft AI, Copilot, Power Platform, and Azure AI capabilities and recommend practical applications for the organization.

Required Qualifications:

• Experience designing or developing workflow automation, business applications, or AI-enabled productivity solutions.
• Working knowledge of Microsoft Power Platform, such as Power Automate, Power Apps, Power BI, or Dataverse.
• Familiarity with Microsoft 365 tools and how they support business process automation.
• Understanding of AI concepts, prompt design, agentic harnesses, MCP development, solution governance, and responsible use of AI technologies.
• Ability to gather requirements from business users and translate them into practical technical solutions.
• Strong analytical, problem-solving, communication, and documentation skills.
• Ability to work collaboratively with technical and non-technical stakeholders.

Preferred Qualifications:

• Experience with Azure services, Copilot Studio, Microsoft Graph, SharePoint, Teams, or other Microsoft 365 integrations.
• Experience building automated approval flows, reporting workflows, document processing solutions, or AI-assisted business processes.
• Experience integrating AI-enabled workflows with enterprise systems, financial systems, databases, APIs, and other business applications.
• Working knowledge of SQL for data access, reporting, workflow automation, and business process integration.
• Familiarity with API design, REST-based integrations, and connecting applications or services across enterprise platforms.
• Experience with Microsoft-stack development (Microsoft 365 Agents SDK) is preferred, particularly for custom applications, integrations, or extensions beyond low-code/no-code solutions.
• Familiarity with Python-based machine learning, applied AI development, or data analysis is a plus, especially where used to support automation, decision support, or process improvement.
• Familiarity with enterprise security, data governance, role-based access, and lifecycle management for business applications.
• Experience supporting adoption, training, or change management for new digital tools.
• Experience in manufacturing, aerospace, engineering, business development, financial systems, or operational process improvement environments.

Knowledge, Skills, and Abilities:

• Strong understanding of Microsoft ecosystem tools and how they can be combined to automate business processes.
• Ability to evaluate business workflows and identify where AI, automation, integrations, or data-driven solutions can add measurable value.
• Ability to build solutions that are maintainable, secure, scalable, and aligned with organizational governance expectations.
• Ability to integrate AI-enabled workflows with Microsoft 365 services, enterprise systems, financial systems, SQL databases, APIs, and other business applications.
• Working knowledge of API concepts, data flows, system integrations, and secure information exchange between platforms.
• Ability to apply SQL, reporting, and data analysis concepts to support workflow automation, decision support, and process improvement.
• Ability to leverage low-code/no-code tools, AI services, and, where appropriate, custom development approaches to deliver practical business solutions.
• Strong communication skills with the ability to explain technical concepts to business stakeholders.
• Ability to manage multiple automation opportunities from intake through delivery.
• Attention to detail when documenting requirements, workflows, integrations, testing outcomes, and support processes.
• Continuous improvement mindset and willingness to learn emerging AI, automation, integration, and Microsoft ecosystem capabilities.