layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Forward Deployed Engineer - AI at AvePoint | LAYIQ

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.
Machine Learning Expertise: 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.
Strong pluses
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.
How we'll measure success
Within your first 6–12 months, 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.
Why this role, why now
AI adoption has outrun enterprise control, and regulators have noticed. Every large organization now needs to see, govern, secure, 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.

Forward Deployed Engineer - AI

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