Senior Cloud AI Architect

Role Summary 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 while maintaining compliance, transparency, and trust. The architect will communicate with stakeholders at all levels, support multiple teams and projects, mentor other architects, and 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: 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). #J-18808-Ljbffr