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Forward Deployed Engineer, Scams

AFCA•Sydney, Sydney Region
Full-time
👁️ 0 views•📝 0 applications•Posted 9/22/2026•Expires 10/25/2026
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Job Description

The Forward Deployed Engineer (FDE) is an embedded hands-on technical role responsible for working directly with business stakeholders, customers and delivery teams to rapidly solve high-value operational challenges for AFCA's Scams Prevention Framework, using software, AI, automation and data solutions. The role acts as the bridge between business problems and engineering execution. Unlike traditional engineers who primarily build products, the FDE embeds with users to deeply understand workflows, identify opportunities, design solutions, build prototypes, and translate successful outcomes into scalable enterprise capabilities. The FDE combines software engineering, solution design, data engineering, AI implementation and stakeholder engagement skills to accelerate delivery, improve customer outcomes and maximise the value realised from AFCA's technology investments. What you'll be doing: Customer & Business Engagement • Work directly with business teams to identify high-value opportunities for automation, AI and digital enablement. • Embed within operational teams to develop a deep understanding of processes, pain points and customer outcomes. • Translate ambiguous business challenges into clear technical problems and potential solutions. • Act as a trusted technical advisor to senior stakeholders. Solution Engineering • Design and build rapid prototypes, proofs of concept and production-ready solutions. • Develop integrations across enterprise platforms including Optimizely, Microsoft, ServiceNow, Dynamics, Workday, Databricks, data platforms and AI services. • Build scalable software, workflows and automation solutions that align with enterprise architecture standards. • Apply modern engineering and DevOps practices across all solutions. AI & Data Enablement • Design and implement AI-enabled solutions using LLMs, agents, retrieval architectures and automation capabilities. • Partner with data teams to leverage enterprise data assets effectively. • Ensure AI solutions comply with governance, security and responsible AI requirements. • Measure and demonstrate value delivered through implemented solutions. Product & Platform Feedback • Capture recurring customer requirements and convert them into backlog items for core platforms and products. • Influence platform roadmaps based on real-world user needs. • Identify opportunities to standardise bespoke solutions into reusable enterprise capabilities. Delivery Excellence • Rapidly iterate solutions based on user feedback. • Support implementation, adoption and transition into operational support models. • Provide technical leadership throughout the full solution lifecycle.

Required Skills

Data EngineeringDevOpsLeadershipSoftware EngineeringStakeholder ManagementWorkday

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