Forward Deployed Engineer (FDE) - AI Solutions

Mức độ phù hợp và xếp hạng của bạn so với ứng viên khác như thế nào?
JOB SUMMARY
The Forward Deployed Engineer (FDE) is a hands-on, business-facing builder who sits at the intersection of AI and the agency business. Rather than building software in isolation, the FDE is embedded directly with the teams of Square Group's member companies - event, activation, production and digital communication - to understand how work is really done, identify where AI can create measurable value, and rapidly design, build and deploy AI-powered solutions (agents, automated workflows, integrations and internal tools) into daily operations.
The role holder combines the skills of an engineer, a solution consultant and a project lead: translating business pain points into working prototypes within days, taking proven solutions to production, driving user adoption, and turning successful one-off solutions into reusable assets for the whole Group.
Prior experience in an agency / marcom environment is a significant advantage, as the FDE must speak the language of account, creative, production and finance teams as fluently as the language of code and data.
KEY DUTIES AND RESPONSIBILITIES
1. Embed with Agency Teams & Discover Use Cases
- Work side-by-side with account, creative, production, finance and back-office teams of member companies to map workflows and identify high-impact AI opportunities.
- Define problem statements, success metrics and expected ROI with business owners, and prioritize the use-case backlog.
2. Build & Deploy AI Solutions
- Rapidly prototype with LLMs, AI agents, automation/low-code tools and custom code, then turn validated prototypes into reliable production solutions.
- Integrate AI into the tools teams already use (Google Workspace, Microsoft 365, finance/project systems) with human-in-the-loop approval for sensitive outputs.
3. Data & Integration
- Structure and connect agency knowledge and data (rate cards, quotations, case studies, supplier lists, SOPs) via APIs, connectors and scripts, ensuring data confidentiality.
4. Governance & Security
- Work closely with Group IT to ensure every solution complies with the Group information security policy and personal data protection regulations (access control, data classification, approved tools).
- Document each production solution and agree on clear ownership and maintenance arrangements before handover, avoiding unmanaged "shadow IT" tools.
5. Adoption & Enablement
- Onboard and train users, build AI champions in each agency, and communicate results clearly to management and staff.
6. Measurement & Productization
- Track the impact of each deployment against agreed KPIs and turn proven solutions into reusable assets for the whole Group.
- Indicative KPIs include: number of use cases taken to production per quarter, working hours saved, user adoption rate, and number of AI champions trained per member company.