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Senior AI Integration Engineer @ Siemens Healthineers

Bengaluru, Karnataka, INOnsiteFull-time
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About this role

Job Requirements

What You'll 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.

Work Experience

What We're 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

Skills

.net corec#rest apisazureagileapplication securityoauthjwtsecure codingazure devopsgojavascriptreacthtml5typescript

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