Forward Deployed Engineer - AI

<p>&nbsp;</p> <p class="PDq2pG_selectionAnchorContainer" data-start="184" data-end="439">Enterprises are adopting AI faster than they can govern it — and they are looking for a partner who can do two things at once: speak credibly about AI trust, governance, and security, and actually build. The Forward Deployed Engineer (AI) is that partner.</p> <p class="PDq2pG_selectionAnchorContainer" data-start="184" data-end="439">&nbsp;</p> <p data-start="441" data-end="780">You are the technical face of AvePoint inside client organizations: equally comfortable whiteboarding AI trust and governance concepts with a CISO, translating a business problem into a scoped AI build project, and writing the first working prototype yourself. You embed with clients, ship real outcomes, and own the engagement end to end.</p> <p data-start="441" data-end="780">&nbsp;</p> <p data-start="782" data-end="1078">This is not a pre-sales role with a demo script, and not a back-office delivery role. It is the engagement model pioneered by leading AI companies for their strategic enterprise customers: a senior engineer deployed forward, with the autonomy to own the problem from first workshop to production.</p> <p data-start="782" data-end="1078">&nbsp;</p> <h1 data-section-id="1b5pyf7" data-start="1080" data-end="1096">What you'll do</h1> <h3 data-section-id="1rd6iho" data-start="1098" data-end="1136">Advise on AI trust and governance.</h3> <p data-start="1137" data-end="1641">Lead workshops that help clients understand and take control of their AI landscape — agents, copilots, models, and the data behind them, including the shadow AI they didn't know about. Explain AI governance, security posture, and resilience concepts credibly to both technical teams and executives. Guide clients through obligations such as the EU AI Act, NIS2, and ISO 42001, and help them stand up practical operating models: AI inventories, approval workflows, risk classification, and audit evidence.</p> <h3 data-section-id="1vy74ta" data-start="1643" data-end="1681">Scope and shape AI build projects.</h3> <p data-start="1682" data-end="2121">Sit with business stakeholders to understand the underlying need behind "we want AI for X." Identify the highest-value use cases, define success criteria, and translate ambiguous requirements into concrete, estimable technical scopes — architecture outlines, data and integration requirements, delivery phases, effort and risk assessments. Write statements of work that engineering teams can actually deliver and clients can actually sign.