AI Solutions Engineer

Moburst is a full-service, mobile-first digital marketing agency that helps companies exceed their growth goals. Leading global brands and startups (including Google, Samsung, and Uber) leverage our mobile and digital expertise to grow their products, strengthen their market presence, and maximize performance KPIs.

We're hiring a hands-on AI builder whose focus is agentic systems: taking a client use case from idea to a running system that plans and executes multi-step work on its own, not a one-shot script. This role isn't tied to any single department. You'll work with our Media, PR, Creative, Organic, Strategy and Data teams, sometimes alongside account teams directly in front of a client when a use case calls for it, and other times purely from an internal brief. Either way, you own the build.

You'll act as a close technical partner to our VP AI & Innovation: deep in Claude's agentic tooling (API, Agent SDK, Claude Code) and the broader agentic AI landscape, comfortable defining your own scope from a real business problem instead of executing a fixed backlog, and pushing our systems from single-step automations toward genuine autonomy.

Responsibilities:

• Own end-to-end design and delivery of AI systems built around client use cases that span more than one service line.
• Partner with our departments to translate their processes into buildable systems, without taking over their day-to-day ownership of that work.
• Build and ship production systems end-to-end: scoping, architecture, implementation, and handover to whoever will run them day to day.
• Work directly with clients when a use case calls for it, gathering requirements and presenting your approach; on other use cases, build entirely from an internal brief.
• Stay current on Claude (API, Agent SDK, Claude Code) and the automation frameworks we use (n8n, Zapier, or equivalent), and push our systems toward higher autonomy, meaning less manual maintenance of what's already built. Yet challenge assumptions and architectural decisions as needed.
• Day to day, you'll work inside our existing stack: Asana for project and task tracking, HubSpot for CRM and campaign data, Slack for team communication, Google Workspace for docs and files, and Salesforce for client revenue data. You won't need deep expertise in all of them on day one, but expect to build against them as part of the job.

Requirements:

• Hands-on experience building AI-powered systems end-to-end, not just prototyping, ideally in an agency, in-house marketing, or product environment.
• A demonstrated focus on agentic AI, not just familiarity with the term: systems you've built or shipped where the AI plans and executes multi-step work with limited human intervention, backed by a portfolio, case study, or reference that showcases it.
• Working fluency with Claude (API and/or Agent SDK, Claude Code) and at least one automation or orchestration framework (n8n, Make, Zapier, or equivalent).
• A track record of designing a system that spans more than one function or handoff point, not a single-task automation.
• Comfortable defining scope from a client use case rather than executing a fixed departmental backlog.
• Able to operate in a vague environment and strive to find answers by working closely with the different departments.
• Proactive, gathers requirements and proposes solutions.

Nice to have:

• Experience in marketing, advertising, or app growth.
• Some direct client-facing experience: requirements gathering, presenting technical approaches, or running a workshop.