Remote Cloud & IoT AI Platform Solutions Architect

Computer Task Group

United States

Remote

USD 76,000 - 87,000

Full time

4 days ago
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Job summary

CTG is seeking a Solution Architect for Cloud, IoT & AI-Driven Platforms. The role is remote and focuses on defining the end-to-end architecture for an enterprise-scale instrument monitoring platform in health sciences.

You will lead modernization across .NET and SQL Server ecosystems and align security, compliance, and data processing standards. Ideal candidates have extensive experience in AWS, IoT, AI-driven solutions, and cross-functional leadership across distributed teams in the US, India,

Qualifications

  • Experience leading enterprise-scale solution architecture initiatives.
  • Proven AWS solutions and AI-driven applications experience.
  • Experience modernizing legacy apps (.NET Framework, ASP.NET, VB6/COM, SQL Server).

Responsibilities

  • Define and lead end-to-end architecture and modernization strategy for an enterprise-scale remote instrument monitoring platform.
  • Design cloud-native architecture across layers, establish standards, patterns, APIs and ownership.
  • Lead cloud and IoT architecture for device connectivity, real-time telemetry, and large-file transfers.
  • Establish AI governance standards for model evaluation, RAG, prompt management and monitoring.

Skills

AWS cloud services
Cloud-native development
Distributed systems
Microservices
Event-driven architectures
IoT platforms
Device connectivity
Telemetry processing
APIs
Secure instrument-cloud communications

Education

Bachelor's degree in Computer Science
Master's degree preferred

Job description

CTG is seeking a Solution Architect for Cloud, IoT & AI-Driven Platforms. The role is remote and focuses on defining the end-to-end architecture for an enterprise-scale instrument monitoring platform in health sciences.

You will lead modernization across .NET and SQL Server ecosystems and align security, compliance, and data processing standards. Ideal candidates have extensive experience in AWS, IoT, AI-driven solutions, and cross-functional leadership across distributed teams in the US, India,

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