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# AI Systems Architect

- **Company:** OpenKyber LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Tensorflow, Google Cloud, Pytorch, Large Language Models, Generative AI, AI Platforms, Scikit Learn, Deployment Automation, Machine Learning Operations, GPT
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c29cfd3069ab0b1e

## About the Role

* 8+ years of experience in AI/ML, Data Science, or Solution Architecture
 * Proven experience as an AI Architect / AI Consultant / ML Architect
 * Strong understanding of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.)
 * Experience with cloud platforms (AWS, Azure, or Google Cloud Platform AI services)
 * Ability to communicate complex AI concepts to non-technical stakeholders
 * Experience in defining AI strategy and roadmaps, * Experience working with Public Sector / Government clients
 * Exposure to Generative AI / LLMs (e.g., GPT, RAG architectures)
 * Knowledge of AI governance, ethics, and compliance frameworks
 * Prior experience in advisory or consulting roles

## Description

We are seeking an experienced AI Architect to guide and support our client through their AI transformation journey. This role will focus on defining AI strategy, educating stakeholders, and building a roadmap for scalable and responsible AI adoption preferably within a Public Sector environment., Strategic/Functional

 * Define and drive the organization's AI strategy and roadmap aligned with business goals
 * Educate leadership and cross-functional teams on AI capabilities, use cases, and best practices
 * Identify high-impact AI/ML use cases across departments
 * Provide guidance on responsible AI, governance, and compliance , especially in Public Sector settings
 * Collaborate with stakeholders to translate business needs into AI-driven solutions

Technical

 * Design high-level AI/ML architectures and solution frameworks
 * Evaluate and recommend tools, platforms, and frameworks (e.g., cloud AI services)
 * Guide teams on data readiness, model lifecycle, and deployment strategies
 * Ensure scalability, security, and performance of AI solutions
 * Stay updated with the latest trends in Generative AI, LLMs, and AI platforms


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