Forward Deployed Engineer
Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 22, 2026.
TL;DR: If you:
can rapidly prototype, integrate, and ship AI systems into production;
love turning messy real-world problems into elegant technical solutions;
have built something remarkable, at work or outside of it…
… you should apply for this role!
About P-1 AI:
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools-the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We recently announced a $50 million Series A financing led by NEA, which added former General Electric CEO Jeff Immelt to our board. The round also included the addition of several AI luminaries from Anthropic and Nominal to our existing angel investors from Google and OpenAI.
About the opportunity:
Our Forward Deployed Engineers serve as the technical lead for each customer deployment, making key technical decisions on architecture, data integrations, and user experience for specific customer missions. On a daily basis, you will build end-to-end AI solutions, take them into production, and support our customers solving real-world physical engineering problems with novel AI capabilities.
About the role:
Work with customers over the entire Archie product lifecycle: Lead discovery sessions, translate engineering challenges into AI use cases, design how Archie integrates into each workflow, and provide post-deployment support to ensure customer success.
Design, implement, and refine customer integrations: Connect Archie to engineering data sources and tools, iterate until it delivers measurable value.
Fine-tune and evaluate AI systems in production environments: Identify, collect, and prepare customer data to fine-tune models. Source evaluation criteria and questions from customer sessions to validate improved engineering capability.
Collaborate with engineering teams: Work closely with subject matter experts and AI specialists to develop novel AI systems capable of executing critical customer engineering tasks.
Diagnose and resolve critical issues in live deployments: Drive root-cause analysis and implement durable improvements across the organization.
About you:
Experience shipping data-driven or AI systems to production (Python experience strongly preferred).
A physical engineering background (automotive, aerospace, electrical, mechanical, etc.).
Can rapidly build integrations between disparate customer systems.
Comfortable working directly with customers and technical leaders.
Have integrated or extended AI systems. Bonus points for engineering or scientific domains!
Delivered solutions in secure enterprise environments.
Handled live production troubleshooting and customer incident response.
Location:
Remote (Australia) with 40% of time spent on customer site in Perth.
Interview process:
Introductory call (30 mins)
Biographical/behavioural interview (45 mins)
Technical interview (60 mins)
CEO interview (30 mins)