Head of AI Solutions & Creative Technology

321 the AgencyRemote, FL

About The Position

We are a marketing and technology agency that builds websites, custom applications, AI-powered experiences, automations, integrations, and emerging technology solutions for our clients and internal teams. We are looking for a Head of AI Solutions & Creative Technology to lead how we imagine, architect, build, and deliver technology solutions. This is not a traditional engineering management position. We are looking for a creative technologist, solutions architect, AI-native developer, and technical leader in one person. You will work directly with clients to understand their businesses, identify problems and opportunities, design better processes, architect technical solutions, rapidly prototype ideas, and lead those solutions through production. Our development philosophy is AI-first. Approximately 90% of our development workflow leverages AI-assisted or "vibe coding" methodologies. We want someone who knows how to push AI development tools extremely hard while also having the technical depth to get under the hood, understand the underlying code, debug complex problems, challenge poor AI-generated architecture, and manually engineer a solution when necessary. The right person will be as comfortable brainstorming an innovative client experience as they are reviewing an API integration, database structure, application architecture, or pull request.

Requirements

  • Solutions architecture experience
  • AI-assisted software development experience
  • Full-stack application development experience
  • Creative technology experience
  • Business process design experience
  • Automation experience
  • Systems integration experience
  • API development experience
  • Web development experience
  • Client consulting experience
  • Technical discovery experience
  • Product thinking experience
  • Rapid prototyping experience
  • Technical project leadership experience
  • Contractor or development team management experience
  • Technically strong enough to understand architecture, evaluate work, troubleshoot, and identify incorrect building.
  • Obsessed with AI-assisted development and emerging technology.
  • Uses AI as a force multiplier rather than a replacement for technical understanding.
  • Can rapidly turn ideas into working products.
  • Thinks creatively about technology.
  • Loves solving complicated business problems.
  • Can move between strategy and execution.
  • Understands both software and business processes.
  • Comfortable working directly with clients.
  • Can communicate with both developers and CEOs.
  • Likes building more than managing meetings.
  • Can operate effectively with incomplete requirements.
  • Enjoys experimenting.
  • Constantly evaluating new AI tools.
  • Knows when to build something and when not to.
  • Can manage contractors without becoming dependent on them.
  • Takes ownership of the final outcome, not just the code.
  • Ability to discover, imagine, architect, build, lead, and deliver.

Nice To Haves

  • Experience with platforms such as CRM systems, marketing automation platforms, n8n, Zapier, Make, GoHighLevel, APIs, webhooks, and similar technologies.

Responsibilities

  • Lead technical and solution discovery sessions with clients.
  • Translate loosely defined business challenges into clear technical opportunities.
  • Ask the questions clients may not know they need to answer.
  • Understand current business processes, systems, workflows, pain points, and constraints.
  • Map current-state and future-state business processes.
  • Identify opportunities to improve customer experiences and internal operations.
  • Recommend solutions that may include AI, automation, SaaS platforms, integrations, custom development, or combinations of each.
  • Help clients think beyond their original request when a better solution exists.
  • Clearly communicate technical concepts to nontechnical stakeholders.
  • Own technical solution design before development begins.
  • Design application architecture, business logic, user experiences and workflows, data architecture, databases, APIs, webhooks, third-party integrations, CRM integrations, AI models and agents, authentication and permissions, automation workflows, cloud infrastructure, security considerations, reporting and analytics, deployment architecture, technical requirements, and acceptance criteria.
  • Balance what is technically possible with what actually makes sense for the client's business, budget, timeline, and goals.
  • Use modern AI development tools to dramatically accelerate the development lifecycle.
  • Rapidly create working prototypes, MVP applications, internal tools, client portals, web applications, websites, AI-powered experiences, AI agents, API integrations, workflow automations, and proofs of concept.
  • Recognize when AI-generated code or architecture is wrong and troubleshoot frontend code, backend code, APIs, databases and SQL, authentication, application architecture, Git and version control, cloud deployments, logs, performance issues, security vulnerabilities, integration failures, data issues, and complex bugs.
  • Collaborate with marketing strategists, creatives, designers, developers, account teams, and clients to imagine solutions that may not exist yet.
  • Turn ideas into working prototypes and demonstrating what is possible.
  • Understand how clients currently operate.
  • Map workflows across departments and systems.
  • Identify bottlenecks and unnecessary manual processes.
  • Redesign workflows before automating them.
  • Identify where AI can replace or augment repetitive work.
  • Determine where human involvement is still necessary.
  • Design data flows between platforms.
  • Architect automation strategies.
  • Recommend appropriate SaaS and technology platforms.
  • Build integrations between existing systems.
  • Own the decision around how a technical solution should be delivered (build it yourself, build it with AI, configure an existing platform, integrate multiple platforms, assign it to another developer, hire a specialized contractor, outsource an entire component).
  • Make decisions based on speed, quality, scalability, maintainability, risk, cost, and client value.
  • Lead the technical resources required to deliver projects.
  • Manage freelance and contract developers.
  • Identify specialized technical resources when needed.
  • Create technical scopes and requirements.
  • Estimate development effort.
  • Break solutions into executable workstreams.
  • Assign development work.
  • Review code and architecture.
  • Establish technical standards.
  • Review AI-generated development.
  • Manage technical QA.
  • Ensure documentation is completed.
  • Oversee deployments.
  • Troubleshoot complex issues.
  • Hold technical partners accountable for delivery.
  • Run client workshops.
  • Participate in sales and discovery meetings.
  • Present proposed technology solutions.
  • Whiteboard business processes.
  • Explain architecture in plain English.
  • Discuss tradeoffs with executives.
  • Provide technical estimates.
  • Identify risks.
  • Challenge assumptions when necessary.
  • Help clients understand what is possible with AI and emerging technology.
  • Become a trusted technology advisor to our clients.
  • Consider business outcomes, client needs, simplest effective solutions, delivery speed, cost to build, pricing, maintainability, risks, AI's impact on development time, use of existing technology, and potential for reusable intellectual property and additional opportunities.
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