Senior AI Integration Engineer

Job Requirements

What Youll Do 

• Design, develop, and maintain enterprise integration solutions connecting applications, platforms, cloud services, and intelligent workflows. 
• Own end-to-end integration of enterprise platform services, APIs, and connected systems. 
• Define integration contracts, API versioning strategies, and backward compatibility approaches. 
• Drive schema evolution, domain model alignment, and interoperability across distributed systems. 
• Ensure reliability, observability, monitoring, and operational excellence for integrated solutions. 
• Leverage AI-assisted engineering practices to improve software quality, productivity, and delivery efficiency.
• Partner with cross-functional teams to deliver secure, scalable, and maintainable solutions. 
• Support troubleshooting, incident management, continuous improvement, and technical alignment across team and organizations. 

What Were Looking For 

• Experience: 5+ years of relevant software engineering experience, including 2+ years in full-stack development and 3+ years in integration or platform engineering, within a regulated or enterprise environment. 
• Integrations: Strong experience managing system integrations across enterprise platforms to ensure process efficiency. 
• Troubleshooting: Strong coding, debugging, problem-solving skills and ability to work in Agile environments.
• Problem Solver: A strong passion for tackling complex challenges and a keen interest in learning new technologies.
• Cybersecurity: Ensure application security through secure coding practices, identity management, and compliance with industry standards. Solid understanding of application security principles including OAuth, JWT, encryption, and secure coding. 
• Operations: Experience in operations support and incident management processes. 
• DevOps: Experience working with PowerShell, Azure DevOps/Git, Build Management, Continuous Integration (CI), and Continuous Delivery (CD). 
• AI-Assisted Development: Fluent in using AI-assisted development tooling as part of daily engineering practice.
• Development: Design, develop, and maintain scalable web applications using .NET Core, C#, Azure, and modern frontend frameworks (React/Angular). 
• Frontend: Web development skills including React/Angular, HTML5, JavaScript, jQuery, TypeScript, and CSS.  Architecture: Strong fundamentals of software design including OOP, SOLID Principles, REST APIs, OOAD, SOA, and Web Services. 
• Leadership: A desire to mentor others and facilitate technical discussions within the team. 
• Communication: Excellent communication and collaboration skills. 
• Healthcare & Interoperability: Experience with FHIR, DICOM, medical imaging applications, healthcare interoperability, and connected healthcare ecosystems. 
• Technical Stack: Experience with ReactJS, REST APIs, C#, Go, Azure, Git, Linux, Docker, Kubernetes, and modern cloud-native technologies. 
• Deployments: Experience supporting cloud, edge, hybrid, and local deployment models. 
• Edge Platforms: Understanding and experience working with enterprise edge platforms and connected device ecosystems is considered an advantage.  Education: Qualifications required: BE, MSc, MCA, Computer Science, or a related discipline. 

What Defines Success 

You combine integration engineering expertise with an AI-enabled mindset to deliver secure, scalable, and reliable solutions across complex technology landscapes. You excel at connecting