AI Solutions Architect (Project Lead)

Remote Genie; Tennessee; Hybride; USD 120 000 - 170 000; Plein temps

Résumé du poste

Remote Genie is seeking a Solutions Architect to develop, test, and deploy AI-enabled solutions that integrate with enterprise systems and project-level apps. The role emphasizes hands-on design, testing, and deployment across AI platforms such as Google and Azure, and requires cross-functional collaboration with marketing, engineering, and analytics teams.

The ideal candidate has 5+ years in solution architecture for enterprise ecosystems, and at least 2+ years working with AI, automation, or

Qualifications

• Bachelor’s degree in computer science, engineering, data science, or a related technical field.
• 5+ years of experience in solution architecture and enterprise systems.
• 2+ years hands-on experience with AI, automation, or decision-support solutions.

Responsabilités

• AI & Cloud ecosystems: familiarity with AI platforms (Google, Azure).
• Solution design and architecture for integrated ecosystems.
• Strategic decision making on rule-based vs AI-driven solutions.
• AI-driven personalization and scalable content delivery.
• Intelligent workflow automation with routing, reminders, and tasks.

Connaissances

Solution architecture

Enterprise systems integration

AI applications

Stakeholder communication

Formation

Bachelor’s degree in CS/Engineering/Data Science

Outils

Google AI Platform

Azure AI Platform

Description du poste

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

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.