Forward Deployed Engineer, Scams

Fairness feels good

Make a real impact at AFCA. Where fairness drives every decision. Help us deliver world-class, independent complaints resolution for Australians. As a not-for-profit and progressive financial ombudsman, we’re championing positive change. Achieving our purpose takes progressive thinking, accountability and resilience. At AFCA, our inclusive leadership values every voice. We offer our people flexible work options, thoughtful benefits and opportunities to deepen expertise. Flourish in a diverse, caring culture. Feel the difference of belonging to an organisation intentionally designed to put people first.

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

Responsibilities

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.; 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.; 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.; 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.; Rapidly iterate solutions based on user feedback.; Support implementation, adoption and transition into operational support models.; Provide technical leadership throughout the full solution lifecycle.

Requirements

Experience in software engineering, solution engineering, AI engineering or data engineering.; Proven ability to translate business problems into practical technology solutions.; Experience building and deploying cloud-based applications and integrations.; Strong software development and problem-solving skills.; Experience with AI, automation and workflow technologies.; Understanding of modern engineering practices including Agile, DevOps and CI/CD.; Strong stakeholder engagement and communication skills.; Ability to work effectively in ambiguous, fast-paced environments.; Commercial mindset with a focus on delivering measurable business outcomes.

Nice to have

Experience with ServiceNow and API integration.; Experience with generative AI, AI agents and automation platforms.; Experience with Microsoft Azure and AI services.; Knowledge of responsible AI, governance and security practices.; Relevant cloud, engineering or AI certifications.