Senior Cloud AI Architect

4 weeks ago


Atlanta, United States Cynet Systems Full time

Job Description: The Senior Cloud and AI Architect is an advanced-level professional responsible for designing and implementing secure, scalable, and ethical AI solutions to support government and public service missions. This role combines deep AI and machine learning expertise with architectural leadership to modernize public sector operations, improve citizen engagement, and strengthen data-informed decision-making. The position requires expert-level knowledge in cloud platforms and AI, along with the ability to collaborate with stakeholders at all levels, support multiple project teams, and mentor other architects. Responsibilities include working with the organization to design, develop, and implement IT architecture, AWS cloud solutions, and advanced AI and machine learning capabilities across state agencies. dditional duties include planning and scheduling team resources, providing status reporting, preparing required documentation, analyzing work plans, implementing solutions, and supervising assigned staff. Requirement/Must Have: bility to design and implement secure, scalable, and ethical AI and machine learning solutions. bility to evaluate and recommend AI platforms, frameworks, and tools. bility to design secure and compliant AI and machine learning solutions in public cloud or hybrid environments. Strong communication and leadership skills. bility to supervise, mentor, and support technical teams. Experience: Ten or more years of overall experience, including a minimum of five years of enterprise, full-life cycle architecture experience in the IT or software development industry. Five to eight years of hands-on technical application architecture experience, including application build and modernization. Extensive experience architecting, designing, and programming applications for AWS environments. Experience developing solutions architecture and evaluating architectural alternatives for private, public, and hybrid cloud models. Proven experience in machine learning, deep learning, and natural language processing. Responsibilities: Designing and implementing secure, scalable, and ethical AI and machine learning solutions. rchitecting applications and cloud solutions in AWS environments. Evaluating and recommending AI platforms, frameworks, and tools such as platform-native machine learning solutions and common machine learning toolkits. Supporting multiple teams and mentoring other architects. Planning and scheduling team resources. Preparing technical documentation and status reporting. Supervising team members and supporting project execution. Should Have: Experience working with state or local government. Experience integrating cloud and AI solutions across the enterprise. Experience with advanced AI technologies, including chatbots, generative AI, and large language model deployment for public sector use cases. Knowledge of integration standards and best practices for cloud and AI systems. Understanding of public sector security and compliance standards. Experience with AI ethics, bias mitigation, and responsible AI frameworks. Prior work in digital transformation programs for federal, state, or municipal agencies. Skills: Strong technical expertise in machine learning, deep learning, and natural language processing. bility to evaluate, design, and optimize AI and cloud architectures. Knowledge of cloud compliance and security frameworks. bility to lead and collaborate with cross-functional teams. Qualification And Education: Bachelor's degree in Information Technology, Computer Science, Data Science, or equivalent work experience. t least five years of progressive experience with concepts, philosophies, and tools related to application design, solution architecture, and cloud and AI or machine learning technologies. Certification in cloud architecture or AI specialties is preferred.



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