Job Description

  • Opportunity to architect enterprise-scale AI and cloud solutions end to end
  • Role offers impact, leadership, and exposure to modern platforms and tools
  • About Our Client

    The company is a well-established entity within the Semiconductor Industry, operating as part of a large organization. It specializes in delivering innovative solutions and cutting-edge technology to achieve excellence in its field.

    Job Description

  • Design and deliver end-to-end, scalable enterprise solutions integrating AI, automation, cloud platforms, and diverse data sources
  • Analyze business processes and translate requirements into secure, high-performance architectures
  • Architect microservices-based solutions using Azure/AWS/GCP with strong API and integration patterns
  • Guide development teams on architectural best practices, coding standards, and solution governance
  • Build and evaluate POCs to validate complex technical solutions
  • Implement DevOps practices including CI/CD pipelines, Docker, and Kubernetes
  • Develop solutions using .NET, Angular, Python, and related frameworks
  • Integrate Generative AI (OpenAI/GPTs), intelligent automation, and enterprise applications
  • Ensure compliance with enterprise security, scalability, and quality standards
  • Work with data platforms including SQL Server, Data Lake, Lakehouse, and MS Fabric
  • Follow Agile methodologies using tools such as Jira, Azure DevOps, and Git
  • Manage internal and external stakeholders with clear technical and business communication
  • Create and maintain architecture and technical documentation (BRD, TDD/SDD, As-Is/To-Be flows)
  • Communicate architectural decisions effectively to technical and non-technical audiences
  • The Successful Applicant

    A successful Enterprise Solution Architect should have:

  • A strong educational background in Computer Science, Engineering, or a related field.
  • Experience in designing scalable and secure application solutions.
  • Knowledge of modern development frameworks and tools.
  • Skills in identifying and mitigating technical risks.
  • The ability to work collaboratively with diverse teams.
  • Apply for this Position

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