AI Solutions Architect

Presh Marketing SolutionsPresh Marketing Solutions is a profitable, growing marketing agency at an inflection point. With deep expertise in IT channel marketing and long-term relationships with Fortune 500 technology companies, we're transforming from a traditional agency into an AI-powered solutions provider. This is an opportunity to join at the ground floor of our AI transformation and help define the future of channel partner marketing.Role OverviewOwn the technical design and architecture of AI agent solutions for enterprise IT channel partners.

Create blueprint designs for production-ready Agentic AI solutions that integrate with modern business systems. Develop reusable architectural patterns and reference frameworks that enable scalable deployment across hundreds of channel partner environments.This role focuses on solution design and technical strategy. While hands-on development experience is valuable for credibility and technical decisions, day-to-day coding will be handled by our development partners.

We need someone who can design the blueprint, not necessarily build the house.ResponsibilitiesAI Solution Architecture & Strategy (40%)Design production-ready AI agent architectures for enterprise channel marketing automation, focusing on MDF optimization, partner enablement, and co-marketing workflowsArchitect secure, scalable solutions that integrate with existing marketing and business platforms (HubSpot, Salesforce, Microsoft Dynamics, and other enterprise systems)Develop technical specifications for autonomous AI agents covering marketing use cases: content generation, campaign optimization, partner performance analytics, and automated lead routingCreate architectural blueprints and reference designs that enable rapid deployment across multiple enterprise clients while maintaining security and compliance standardsEnterprise Integration & Technical Leadership (30%)Design AI workflow integrations with modern business applications, creating detailed technical requirements for development teamsArchitect data pipeline strategies that synchronize partner data, marketing performance metrics, and business intelligence across systemsDefine enterprise-grade security, authentication, and compliance requirements (SOC2, GDPR) and oversee implementationLead technical discovery and architecture discussions with client IT teams, translating marketing requirements into actionable technical specificationsRapid Value Delivery & Innovation (20%)Orchestrate MVP deployments within 30-60 days, coordinating with development resources to demonstrate immediate ROIDesign AI-powered proof-of-concepts that solve specific channel marketing pain points (partner recruitment, enablement, performance tracking)Specify monitoring and optimization requirements for AI agent performance, ROI metrics, and system healthDefine testing strategies and acceptance criteria to ensure consistent, accurate marketing outputsTechnical Enablement & Knowledge Transfer (10%)Document architectural decisions, solution designs, and integration specifications for development teamsCollaborate with CEO and Account Strategy team to translate channel marketing expertise into technical architecturesPresent technical solutions to business stakeholders, demonstrating ROI and competitive advantageGuide development teams (internal and external) and mentor staff on AI best practices and architectural patternsRequired QualificationsMust-Have Experience3-5 years solution architecture experience designing enterprise systems2-3 years designing AI/ML solutions (understanding of implementation, not necessarily hands-on coding)Proven track record of creating technical specifications that development teams successfully implementExperience managing or guiding technical teams, vendors, or offshore development resourcesExceptional written and verbal communication skills for technical and non-technical audiencesDemonstrated ability to translate business requirements into technical architecturesTechnical Understanding RequiredDeep knowledge of modern AI/ML capabilities and limitations (LLMs, RAG, agent frameworks)Understanding of enterprise integration patterns and API architecturesKnowledge of security, compliance, and data privacy requirements for enterprise deploymentsCloud architecture principles and best practices (AWS/Azure/GCP)Marketing technology ecosystem familiarity (CRM, marketing automation, analytics platforms)Industry KnowledgeB2B enterprise software experience with understanding of enterprise buying cyclesBusiness process automation and workflow optimizationUnderstanding of SaaS architectures and deployment modelsPreferred QualificationsBackground in consulting, systems integration, or solution engineeringExperience with IT channel, distribution, or partner ecosystemsMarketing technology or MarTech industry experienceCloud architecture certifications (solutions architect level)Previous experience scaling startups or leading digital transformation initiativesSome coding background (Python, JavaScript) for technical credibilityCompensation & Benefits$125,000-$175,000 base salary.Medical, dental, and vision coverage.401(k), unlimited PTO, and a professional development budget.Downtown Tampa office with a four-days-in-office, one-day-remote schedule.Reporting StructureDirect report to CEO with significant autonomy and strategic input into company direction.