Systems Architect

Home :: Systems Architect

Experience: 2+ years

Qualification: This is a professional position, and as such, we require, at minimum, a Bachelor’s degree in computer science, computer Applications, computer information systems, information technology, or advanced educational background equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.

Job Description: 

  • Provide technical and thought leadership to software engineering and AI/ML teams executing large-scale cloud implementations, migrations, and AI integrations across distributed development environments.
  • Design and implement  the integration of AI models, pipelines, and inferencing systems within enterprise cloud environments, ensuring compliance, scalability, and performance.
  • Monitor and optimize the performance and scalability of cloud-native workloads and AI-driven applications to meet evolving business and computational requirements.
  • Configure, maintain, and support enterprise network, systems, and AI deployment infrastructure, ensuring high availability and seamless interoperability.
  • Drive continuous improvement initiatives by identifying system and AI workflow enhancements based on user feedback, data insights, and evolving business needs.
  • Architect systems for scalability, reusability, and adaptability, supporting long-term digital transformation and AI readiness goals.
  • Collaborate with cross-functional teams to troubleshoot and resolve infrastructure, AI model deployment, and connectivity issues in production and data center environments.
  • Track key project metrics and milestones to monitor progress, mitigate risks, and ensure successful delivery of both cloud and AI-powered solutions.
  • Foster strong client partnerships through regular engagement, acting as a trusted technical advisor for both cloud and AI strategy.
  • Conduct incident response, root cause analysis, and performance tuning for both traditional systems and AI-powered applications.
  • Support client engagements through technical presentations, AI architecture reviews, and strategic solution planning sessions.
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