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Posted 09 July, 2026

Enterprise Solution Architect - AI, Cloud & Digital Platforms

Michael Page
Remote Nationwide, IN Full Time
Reference: 74ee690812fad545

Job Description

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

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    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.

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    Job Description

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

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    A successful Enterprise Solution Architect should have:

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

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