AI Solutions Architect

Presh 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.

Own 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.

• Design production-ready AI agent architectures for enterprise channel marketing automation, focusing on MDF optimization, partner enablement, and co-marketing workflows
• Architect 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 routing
• Create architectural blueprints and reference designs that enable rapid deployment across multiple enterprise clients while maintaining security and compliance standards

• Design AI workflow integrations with modern business applications, creating detailed technical requirements for development teams
• Architect data pipeline strategies that synchronize partner data, marketing performance metrics, and business intelligence across systems
• Define enterprise-grade security, authentication, and compliance requirements (SOC2, GDPR) and oversee implementation
• Lead technical discovery and architecture discussions with client IT teams, translating marketing requirements into actionable technical specifications

• Orchestrate MVP deployments within 30-60 days, coordinating with development resources to demonstrate immediate ROI
• Design 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 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 CEO and Account Strategy team to translate channel marketing expertise into technical architectures
• Present technical solutions to business stakeholders, demonstrating ROI and competitive advantage
• Guide development teams (internal and external) and mentor staff on AI best practices and architectural patterns

• 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 (solutions architect level)
• Previous experience scaling startups or leading digital transformation initiatives
• Some coding background (Python, JavaScript) for technical credibility

• 3-5 years solution architecture experience designing enterprise systems
• 2-3 years designing AI/ML solutions (understanding of implementation, not necessarily hands-on coding)
• Proven track record of creating technical specifications that development teams successfully 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 (LLMs, RAG, agent frameworks)
• Understanding of enterprise integration patterns and API architectures
• Knowledge of security, compliance, and data privacy requirements for enterprise deployments
• Cloud architecture principles and best practices (AWS/Azure/GCP)
• Marketing technology ecosystem familiarity (CRM, marketing automation, analytics platforms)

• B2B enterprise software experience with understanding of enterprise buying cycles
• Business process automation and workflow optimization
• Understanding of SaaS architectures and deployment models

Direct report to CEO with significant autonomy and strategic input into company direction.