Forward Deployed Engineer - Australia

Rhaelm; Australia; Hybrid; AUD 110,000 - 150,000; Full time

Job summary

RHAELM is seeking a Forward Deployed Engineer based in Australia to embed with strategic customers, scoping, building, and shipping production AI systems. You will own hands-on delivery of complex deployments and report to the FDE Lead for Asia Pacific & Japan.

Your field insight will shape our global product roadmap, and you will collaborate with regional teams to ensure production readiness, security, and compliance in customer environments.

Qualifications

• 5+ years of software engineering experience.
• 1+ years in a forward-deployed, solutions engineering, or customer-embedded role.
• Track record of shipping full-stack systems, data pipelines, or AI/LLM-based apps to production.
• Experience in enterprise/government environments with security and data residency constraints.

Responsibilities

• Own discovery and technical scoping for customer deployments.
• Build and ship production AI systems within customer environments.
• Act as technical owner for escalated production issues.
• Coordinate with regional leads to align delivery with requirements.
• Develop reusable deployment patterns and tooling for faster delivery.
• Provide field feedback to product and research teams.

Skills

Backend engineering

Data pipelines

AI/ML integration

Customer-facing communication

Education

Bachelor's degree in Computer Science or Engineering

Job description

About RHAELM

RHAELM is the sovereign AI cloud built to accelerate secure AI deployment at scale, combining power and infrastructure pipelines with global capability and local, in-country operations. Headquartered in London, with deployments across Europe and APAC, we deliver ring-fenced compute, networking, and storage infrastructure alongside a sovereign platform and flexible Bare Metal, Kubernetes, and AI-as-a-Service models. Focused on regulated and mission-critical sectors including Government, Defence, Healthcare, and Financial Services, we give organisations sovereign control over their AI infrastructure, platform, and data.

This Role

As a Forward Deployed Engineer based in Australia, you will embed directly with our strategic customers to scope, build, and ship production AI systems. Your job is to make sure our technology lands in customer environments as working, adopted production systems, not proofs of concept.

You will own hands-on delivery of one or more complex customer deployments, reporting to the FDE Lead for Asia Pacific & Japan, and your field insight will shape our global product roadmap.

Key Responsibilities

• Own discovery and technical scoping for your customer deployments, turning ambiguous requirements into a concrete delivery plan

• Build and ship production AI systems and integrations directly within customer environments, working alongside their engineering and domain teams

• Act as technical owner for escalated production issues on your deployments and drive them to resolution

• Partner with the regional FDE Lead, Infrastructure, and GTM teams to align delivery capacity with customer requirements and commitments

• Apply and improve reusable deployment patterns, playbooks, and tooling to increase delivery speed and consistency across the region

• Feed field insight and recurring customer requirements back to our global Product and Research teams

• Uphold the regional FDE team's standards for code quality, evaluation rigour, and production readiness

• Represent RHAELM's technical capability to customer engineering and operations stakeholders

• Help prioritise across concurrent workstreams within your customer engagements

Experience

• 5+ years of software engineering experience, including production system design, deployment, and ownership

• 1+ years in a forward-deployed, solutions engineering, or customer-embedded technical role

• A track record of shipping full-stack systems, data pipelines, or agentic/LLM-based applications into production customer environments

• Experience navigating enterprise or government customer environments, including security, compliance, and data residency constraints (such as the Australian Privacy Act and government security frameworks)

• Experience working through ambiguous customer requirements with limited initial specification

Skills

• Strong hands-on engineering ability across backend, data, and AI/ML integration

• Structured problem decomposition, turning an ambiguous customer brief into a concrete technical plan

• Clear customer-facing communication with both engineers and non-technical stakeholders

• Comfort operating with autonomy under production pressure

• Ability to translate field learnings into clear product and research feedback

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience