Required 3 Years Experience with AI ethics, bias mitigation, and responsible AI frameworks Required 3 Years AI platforms, frameworks, and tools (e.g., Azure ML, AWS SageMaker, Google Vertex AI, PyTorch) Required 3 Years Design secure and compliant AI/ML solutions leveraging public cloud or hybrid environments Required 3 Years AWS Certified Solutions Architect (PLS UPLOAD CERTIFICATION) Required Bachelor's degree in information technology, Computer Science, Data Science, or an equivalent work experience. Required 5 Years Evaluating architectural alternatives for private, public, and hybrid cloud models (IaaS, PaaS, and other cloud services) Required 5 Years Experience with cutting-edge AI technologies in developing chatbots and generative AI (GenAI) and LLM deployment for public sector use cases.