AI Solutions Architect

PRESHai • Tampa, FL

21h • Hybrid

About The Position

Presh Marketing Solutions is a profitable, growing marketing agency with deep expertise in IT channel marketing and long-term relationships with Fortune 500 technology companies. The company is transforming from a traditional agency into an AI-powered solutions provider. This role offers an opportunity to help shape that AI transformation and the future of channel partner marketing.

The AI Solutions Architect owns the technical design and architecture of AI agent solutions for enterprise IT channel partners. The role creates blueprints for production-ready Agentic AI solutions that integrate with modern business systems, as well as reusable architectural patterns and reference frameworks for scalable deployment across hundreds of channel partner environments. The focus is on solution design and technical strategy; development partners handle day-to-day coding.

The position reports directly to the CEO and provides significant autonomy and strategic input into company direction. The schedule is four days in the downtown Tampa office and one day remote.

Requirements

• 3–5 years of solution architecture experience designing enterprise systems.
• 2–3 years designing AI/ML solutions; understanding of implementation is required, but hands-on coding is not necessarily required.
• Proven ability to create technical specifications that development teams successfully implement.
• Experience managing or guiding technical teams, vendors, or offshore development resources.
• Exceptional written and verbal communication skills for technical and non-technical audiences.
• Demonstrated ability to translate business requirements into technical architectures.
• Deep knowledge of modern AI/ML capabilities and limitations, including LLMs, RAG, and agent frameworks.
• Understanding of enterprise integration patterns and API architectures.
• Knowledge of enterprise security, compliance, and data privacy requirements.
• Understanding of cloud architecture principles and best practices across AWS, Azure, or GCP.
• Familiarity with the marketing technology ecosystem, including CRM, marketing automation, and analytics platforms.
• B2B enterprise software experience and understanding of enterprise buying cycles.
• Understanding of business process automation and workflow optimization.
• Understanding of SaaS architectures and deployment models.

Nice To Haves

• Background in consulting, systems integration, or solution engineering.
• Experience with IT channel, distribution, or partner ecosystems.
• Marketing technology or MarTech industry experience.
• Cloud architecture certifications at the solutions architect level.
• Previous experience scaling startups or leading digital transformation initiatives.
• Some coding background in Python or JavaScript for technical credibility.

Responsibilities

• Design production-ready AI agent architectures for enterprise channel marketing automation, including MDF optimization, partner enablement, and co-marketing workflows.
• Architect secure, scalable solutions that integrate with HubSpot, Salesforce, Microsoft Dynamics, and other enterprise marketing and business platforms.
• Develop technical specifications for autonomous AI agents supporting content generation, campaign optimization, partner performance analytics, and automated lead routing.
• Create architectural blueprints and reference designs for rapid deployment across enterprise clients while maintaining security and compliance standards.
• Design AI workflow integrations with modern business applications and prepare detailed technical requirements for development teams.
• Architect data pipeline strategies to synchronize partner data, marketing performance metrics, and business intelligence across systems.
• Define enterprise-grade security, authentication, and compliance requirements, including SOC2 and GDPR, and oversee implementation.
• Lead technical discovery and architecture discussions with client IT teams, translating marketing requirements into actionable technical specifications.
• Coordinate development resources to orchestrate MVP deployments within 30–60 days and demonstrate immediate ROI.
• Design AI-powered proof-of-concepts for channel marketing challenges such as partner recruitment, enablement, and performance tracking.
• Specify monitoring and optimization requirements for AI agent performance, ROI metrics, and system health.
• Define testing strategies and acceptance criteria to ensure consistent, accurate marketing outputs.
• Document architectural decisions, solution designs, and integration specifications for development teams.
• Collaborate with the CEO and Account Strategy team to translate channel marketing expertise into technical architectures.
• Present technical solutions to business stakeholders and demonstrate ROI and competitive advantage.
• Guide internal and external development teams and mentor staff on AI best practices and architectural patterns.

Benefits

• Medical coverage.
• Dental coverage.
• Vision coverage.
• 401(k).
• Unlimited PTO.
• Professional development budget.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed