Forward Deployed Engineer - AI

Must-haves

• 5+ years in software engineering, solutions architecture, or technical consulting, with at least 2 years hands-on with modern AI/LLM systems in real projects (not only experimentation).
• Practical experience building with LLM APIs and frameworks (e.g., Azure OpenAI, Bedrock, Vertex, LangChain, Semantic Kernel) and patterns such as RAG, agentic workflows, and tool/function calling.
• Hands-on machine learning experience spanning model development, evaluation, deployment, and operationalization, with a focus on enterprise AI solutions, predictive analytics, and scalable MLOps practices.
• Strong programming skills in Python and/or C#/TypeScript, plus working fluency with at least one major cloud platform (Azure, AWS, or GCP), including identity, networking, and data services.
• Demonstrated ability to scope technical projects from ambiguous business requirements: you can run a requirements workshop, challenge assumptions constructively, and produce a credible plan with phases, estimates, and risks.
• Excellent communication in front of senior stakeholders — you can explain why AI governance matters to a board member and debate vector database trade-offs with a platform engineer in the same meeting.
• Willingness to travel to client sites and to operate with high autonomy in ambiguous, fast-moving engagements.
• Working knowledge of AI governance and compliance frameworks: EU AI Act, NIS2, ISO/IEC 42001, NIST AI RMF, or Gartner's AI TRiSM model.
• Experience with AI security topics: prompt injection, data leakage, agent permissioning, model and data security posture (AI-SPM/DSPM concepts).
• Familiarity with the Model Context Protocol (MCP), agent runtimes, or vector databases (e.g., Pinecone, Milvus, Weaviate, Chroma).
• Background in enterprise data governance, security, backup/resilience, or the Microsoft 365 / multi-cloud ecosystem where AvePoint operates.
• Experience delivering into regulated industries (public sector, defense, financial services, healthcare) or air-gapped/sovereign environments.
• Prior experience in a forward-deployed, embedded consulting, or customer-facing engineering role.
• Additional languages relevant to your region's client base.
• you will have led AI discovery and governance workshops for multiple enterprise clients
• scoped and won at least one significant AI build or governance engagement
• and delivered working software into a client environment. Above all: clients ask for you by name.
• AI adoption has outrun enterprise control
• and regulators have noticed. Every large organization now needs to see
• and sustain its AI estate — and most need a partner who can both advise and build. As an FDE at AvePoint you will help define this engagement model from the ground floor
• work at the frontier of agentic AI and AI trust
• and do it with two decades of enterprise data governance and resilience expertise behind you.
• 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.
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