Senior Cloud AI Architect

𝐓𝐢𝐭𝐥𝐞: 𝐒𝐞𝐧𝐢𝐨𝐫 𝐂𝐥𝐨𝐮𝐝 𝐀𝐈 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: 𝐀𝐭𝐥𝐚𝐧𝐭𝐚, 𝐆𝐀 (𝐎𝐧𝐬𝐢𝐭𝐞) 𝐃𝐮𝐫𝐚𝐭𝐢𝐨𝐧: 𝐋𝐨𝐧𝐠 𝐓𝐞𝐫𝐦 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 : 𝐖𝐞𝐛𝐜𝐚𝐦/𝐈𝐧-𝐏𝐞𝐫𝐬𝐨𝐧 𝐉𝐨𝐛 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧: The Senior Cloud and AI Architect is an experienced, advanced-level professional responsible for creating the design and implementation of secure, scalable, and ethical AI solutions to support government and public service missions. This role combines deep AI/ML expertise with architectural leadership to modernize public sector operations, improve citizen engagement, and drive data-informed decision-making — all while maintaining compliance, transparency, and trust. This position requires advanced skills in multiple areas of architecture, with expert or specialized knowledge in cloud platforms and AI. The architect will communicate with stakeholders at all levels, support multiple teams and projects, and mentor other architects. A key responsibility is to work with GTA to design, develop, and implement IT architecture, AWS cloud implementations, and advanced AI/ML solutions across State Agencies. 𝐂𝐎𝐑𝐄 𝐐𝐔𝐀𝐋𝐈𝐅𝐈𝐂𝐀𝐓𝐈𝐎𝐍𝐒: ● 10+ years of overall experience, including a minimum of 5 years of enterprise, full-life cycle architecture experience in the professional IT/Software Development services industry. ● 5-8 years of hands-on technical application architecture experience, including application build and modernization. ● Extensive experience architecting, designing, and programming applications to operate in AWS environments. ● Experience in developing solutions architecture and evaluating architectural alternatives for private, public, and hybrid cloud models (IaaS, PaaS, and other cloud services). ● Proven experience in designing and implementing secure, scalable, and ethical AI/ML solutions, leveraging public cloud or hybrid environments. ● Strong technical expertise in machine learning, deep learning, and natural language processing. ● Evaluate and recommend AI platforms, frameworks, and tools (e.g., Azure ML, AWS SageMaker, Google Vertex AI, PyTorch). ● Design secure and compliant AI/ML solutions leveraging public cloud or hybrid environments. 𝐀𝐆𝐄𝐍𝐂𝐘 𝐒𝐏𝐄𝐂𝐈𝐅𝐈𝐂 𝐐𝐔𝐀𝐋𝐈𝐅𝐈𝐂𝐀𝐓𝐈𝐎𝐍𝐒: Minimum Qualifications: Must meet one of the following requirements: ● Bachelor’s degree in information technology, Computer Science, Data Science, or an equivalent work experience. ● At least 5 years of progressive experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologies on AWS/Public Cloud and AI/ML platforms. 𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: (Preference will be given to candidates who demonstrate some or all the following skills/experience): ● AWS Certified Solutions Architect ● Experience with state and local Government is a plus ● Enterprise-wide integration experience for both cloud and AI solutions ● Experience with cutting-edge AI technologies in developing chatbots and generative AI (GenAI) and LLM 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 (e.g., FedRAMP, FISMA, NIST AI RMF, NIST 800-53) ● Experience with AI ethics, bias mitigation, and responsible AI frameworks ● Prior work with federal, state, or municipal digital transformation programs ● Certification in cloud architecture or AI specialties (AWS, Azure, or GCP) 𝐒𝐤𝐢𝐥𝐥 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 / 𝐃𝐞𝐬𝐢𝐫𝐞𝐝 𝐀𝐦𝐨𝐮𝐧𝐭 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: - Experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologies 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 - Enterprise, full-life cycle architecture experience in the professional IT/Software Development services industry. 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 - Hands-on technical application architecture experience, including application build and modernization. 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 - Evaluating architectural alternatives for private, public, and hybrid cloud models (IaaS, PaaS, and other cloud services) 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 - Experience with cutting-edge AI technologies in developing chatbots and generative AI (GenAI) and LLM deployment for public sector use cases. 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 - Experience with AI ethics, bias mitigation, and responsible AI frameworks 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 - AI platforms, frameworks, and tools (e.g., Azure ML, AWS SageMaker, Google Vertex AI, PyTorch) 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 - Design secure and compliant AI/ML solutions leveraging public cloud or hybrid environments 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 - AWS Certified Solutions Architect (PLS UPLOAD CERTIFICATION) 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 - Bachelor's degree in information technology, Computer Science, Data Science, or an equivalent work experience. 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 - Experience with state and local Government is a plus. 𝐇𝐢𝐠𝐡𝐥𝐲 𝐃𝐞𝐬𝐢𝐫𝐞𝐝 - Certification in cloud architecture or AI specialties (AWS, Azure, or GCP). (PLS UPLOAD CERTIFICATION) 𝐇𝐢𝐠𝐡𝐥𝐲 𝐃𝐞𝐬𝐢𝐫𝐞𝐝