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# Senior Cloud & AI Architect (AWS / Public Sector)

- **Company:** MEDICAL RECRUITMENT STRATEGIES, LLC
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $153,920.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Infrastructure as a Service (IaaS), Information Systems Security Architecture Professional, Machine Learning, Natural Language Processing, Platform as a Service (PAAS), Tensorflow, Azure Machine Learning, Software Engineering, Systems Integration, Enterprise Software Applications, Chatbots, Pytorch, Large Language Models, Deep Learning, Api Design
- **Published:** July 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3e3879927f48330a

## About the Role

* 10+ years in IT / software engineering
 * 5+ years in enterprise architecture roles
 * Strong hands-on experience with AWS cloud architecture
 * Experience designing and deploying AI/ML solutions
 * Knowledge of machine learning, deep learning, and NLP
 * Experience with cloud-native and hybrid architectures, * AWS (Solutions Architecture, cloud-native design)
 * AI/ML frameworks (PyTorch, TensorFlow, SageMaker)
 * GenAI / LLM application development
 * System integration and API architecture
 * Secure architecture design, * AWS Certified Solutions Architect
 * Experience in state/local or federal government projects
 * Knowledge of NIST 800-53, NIST AI RMF, FedRAMP
 * Experience with GenAI chatbots and enterprise AI systems
 * Azure ML or Google Vertex AI exposure
 * Prior work in digital transformation programs

## Description

Lead the design and implementation of secure, scalable cloud and AI solutions for state government systems. This role combines AWS cloud architecture, AI/ML expertise, and enterprise modernization to improve public services and enable data-driven decision-making., * Design and implement AWS-based cloud architectures (IaaS/PaaS/hybrid)

 * Lead development of AI/ML and GenAI solutions (e.g., chatbots, LLM applications)
 * Modernize legacy applications and enterprise systems
 * Ensure security, compliance, and ethical AI practices
 * Evaluate and recommend AI/ML platforms and tools (AWS SageMaker, PyTorch, etc.)
 * Work with stakeholders across multiple government agencies
 * Mentor architects and provide technical leadership
 * Ensure alignment with NIST, FedRAMP, and other security standards


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