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Principal Forward Deployed Engineer

Systems Limited — Jordan · Posted ~2 hours ago

Lead Full-time Onsite

Skills

Production software engineering GenAI Agentic AI Solution architecture System integration Authentication Data access Production debugging Monitoring Technical client engagement Software architecture APIs

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Summary ✨ AI‑Generated

A principal engineering position for an experienced software professional who can take GenAI and agentic solutions from concept to production. You will architect and implement integrations within live enterprise environments, troubleshoot production issues, establish monitoring and documentation, and act as a senior technical partner to clients.

Highlights

Principal-level role with end-to-end ownership of GenAI and agentic solutions, from proof of concept to production. Offers significant technical autonomy, direct client interaction, architecture responsibility, delivery leadership, and exposure to complex production environments.

Description

ABOUT: Build and ship the GenAI/agentic solution end-to-end — from PoC through production go-live. KEY RESPONSIBILITIES Own end-to-end build of the GenAI/agentic solution once scoped — architecture through implementationIntegrate the solution into the client's live environment — auth, data access, existing systems, legacy interfacesAdapt the build on-site as real usage surfaces edge cases the original design didn't anticipateDebug and resolve production issues directly within the client's infrastructureSet up monitoring and handoff documentation for the client's own teamServe as the primary technical point of contact for the client during deliveryHead the delivery pod for GenAI/agentic engagements when appropriateFlex into presales support when pursuit volume outpaces Hub capacityFeed build learnings back into the practice's estimation and pattern libraryManage client expectations under shifting scope or timeline pressure REQUIREMENTS & SKILLS 10–15+ yrs shipping production software, with hands-on GenAI/LLM/agentic build experienceFull-stack range across the GenAI application layer — orchestration, retrieval, integration, deploymentComfortable debugging across the stack: infra, application code, model behaviorExperience integrating with enterprise systems (SSO, legacy APIs, data governance constraints)Working knowledge of major agentic/GenAI platforms likely in the client's environment — Microsoft Azure AI Foundry, AWS Bedrock/Strands Agents, and Google Vertex AI; comfortable with open-source alternatives (LangChain, LlamaIndex) as a good-to-have when the client has no platform preferenceComfortable being the senior technical presence in the room with a client's engineering teamStrong client-facing communication — explains technical tradeoffs under time pressureTrack record of taking ambiguous, partially specified designs to a working production systemResilient under the pressure of on-site, client-facing delivery with visible deadlinesPrior forward-deployed, startup, or embedded-consulting experience is a strong plus