AI Solutions Architect
Role Summary We are seeking a highly capable Solutions Architect with strong developer and solutions architecture depth, you will be hands-on in developing, testing, and deploying AI solutions that integrate seamlessly into enterprise systems and project-level applications The Project Lead will be responsible for creating an integrated system where persona intelligence, data pipelines, AI, automated workflows, and analytics seamlessly support human engagement. This is a builder's role: we're looking for someone who can move fluidly between architecture-level strategy and hands-on implementation, not a strategy-only consultant or a pure researcher. Location: Remote Tennessee candidates preferred: Hybrid Work Environment Candidates must be legally authorized to work in the United States on a permanent basis. This position is not eligible for visa sponsorship, now or in the future Core Responsibilities AI & Cloud Ecosystems: Deep understanding of foundational and advanced AI models, their practical applications, and hands-on familiarity with leading AI platforms (specifically Google and Microsoft/Azure AI ecosystems). Solution Design & Architecture: Proven experience designing comprehensive technical solutions. Must possess a strong conceptual and practical grasp of the differences between traditional automation and Artificial Intelligence. Strategic Decision Making: Demonstrated ability to evaluate complex business problems and strategically determine when to implement rule-based automation versus AI-driven solutions. AI-Driven Personalization at Scale: Develop scalable AI solutions that leverage validated persona insights, stated preferences, and real-time engagement signals to dynamically adjust content, messaging, and sequencing without treating personas as fixed labels. Intelligent Workflow Automation: Design and implement automated routing, scheduling, reminders, and service tasks that optimize internal operations while preserving essential human ownership over key relationships. Qualifications: Bachelor's degree in computer science, engineering, data science, or a related technical field. 5+ years of experience in solution architecture, enterprise systems, or technology transformation, with a proven ability to design integrated ecosystems that seamlessly connect prospect data, CRM/workflow, digital engagement, and analytics (avoiding disconnected tools). 2+ years of hands-on experience with AI, automation, or decision-support solutions, specifically applied to behavioral signal detection, intelligent workflow automation (routing, alerts, scheduling), and persona-informed personalization on a scale. Ability to act as the primary technical liaison, seamlessly translating medical education strategy, audience definitions, and persona intelligence into actionable technical requirements and architecture. Experience managing the rapid, secure development and deployment of complex prototypes. Strong communication skills to lead joint development efforts between strategic consortium leads, marketing teams, and engineering squads.