Forward Deployed Engineer - AI

About the Role Enterprises are adopting AI faster than they can govern it, and they're looking for a partner who can do two things exceptionally well: • Speak credibly about AI trust, governance and security. • Build real AI solutions that solve business problems. As a Forward Deployed Engineer (AI), you'll be the technical face of AvePoint inside enterprise customers. You'll be equally comfortable: • Whiteboarding AI trust and governance concepts with CISOs and executives. • Translating business challenges into scoped AI delivery projects. • Building the first working prototype yourself. You'll embed with customers, own engagements end-to-end, and deliver tangible outcomes. This isn't a traditional pre-sales role or a back-office delivery position. It's a highly autonomous customer-facing engineering role inspired by the engagement models used by leading AI companies—owning problems from discovery workshops through to production. What You'll Do Advise on AI Trust & Governance • Lead AI governance and discovery workshops. • Help customers understand and govern their AI landscape (agents, copilots, models and shadow AI). • Explain AI governance, security posture and resilience to both technical and executive audiences. • Guide organisations through: • EU AI Act • NIS2 • ISO/IEC 42001 • Help establish: • AI inventories • Approval workflows • Risk classifications • Audit evidence • Practical AI operating models. Scope & Shape AI Projects Work directly with business stakeholders to understand the real business problem behind AI initiatives. You'll: • Identify high-value AI use cases. • Define success criteria. • Translate ambiguous requirements into deliverable technical scopes. • Produce: • Architecture outlines • Data & integration requirements • Delivery phases • Effort estimates • Risk assessments • Write Statements of Work (SoWs) customers can sign and engineering teams can deliver. Build & Deliver Develop both prototypes and production-ready AI solutions including: • AI agents • RAG pipelines • LLM integrations: • Azure OpenAI • AWS Bedrock • Google Vertex AI • Anthropic • MCP-based tool integrations • Governance and security controls You'll also build custom tooling for regulated, cloud-restricted or air-gapped environments where SaaS solutions aren't suitable. Own Customer Delivery Remain the trusted technical advisor throughout the engagement by: • Running enablement sessions. • Supporting customer adoption. • Troubleshooting production issues. • Identifying opportunities to expand engagements where genuine customer value exists. What We're Looking For Must-Haves • 5+ years in Software Engineering, Solutions Architecture or Technical Consulting. • 2+ years building modern AI/LLM solutions in production (not just experimentation). • Hands-on experience with: • Azure OpenAI • AWS Bedrock • Google Vertex AI • LangChain • Semantic Kernel • Experience building: • RAG solutions • Agentic workflows • Tool/function calling • Strong programming skills in: • Python • C# • TypeScript • Experience with Azure, AWS or GCP, including identity, networking and data services. • Proven ability to scope technical projects from ambiguous business requirements. • Excellent communication skills—from board-level conversations through to deep technical discussions. • Comfortable working autonomously in fast-moving client environments. • Willingness to travel (~40%). Strong Pluses • AI Governance & Compliance: • EU AI Act • NIS2 • ISO/IEC 42001 • NIST AI RMF • Gartner AI TRiSM • AI Security: • Prompt injection • Data leakage • Agent permissions • AI-SPM / DSPM • Experience with: • Model Context Protocol (MCP) • Agent runtimes • Pinecone • Milvus • Weaviate • Chroma • Enterprise data governance, backup, resilience or Microsoft 365 ecosystems. • Experience delivering into regulated industries: • Public Sector • Defence • Financial Services • Healthcare • Experience in air-gapped or sovereign cloud environments. • Previous Forward Deployed Engineering, embedded consulting or customer-facing engineering experience. #LI-SB1 Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.