Forward Deployed Engineer - AI

About AvePoint AvePoint is the AI Trust Company. AvePoint helps more than 28,000 organizations and 6,000 channel partners govern, secure, and scale AI with trust: making data AI-ready, governing every agent across its lifecycle, and keeping the business resilient across every cloud they run on. To learn more, visit www.avepoint.com.

AvePoint

The AI Trust Company

SharePoint GovernanceSharePoint MigrationSharePoint ManagementSharePoint IntegrationSharePoint OptimizationSharePoint ReportingSharePoint ProtectionOffice 365 MigrationOffice 365 ManagementOffice 365 Protection

A

avepoint.com

1,001-5,000 employees

Data Security Software Products

Jersey City, New Jersey

2001

Public Company

209k LinkedIn followers

Raised $744.7M

• ADVISE ON AI TRUST AND GOVERNANCE.
• 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.
• SCOPE AND SHAPE AI BUILD PROJECTS.
• 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.
• BUILD AND DELIVER.
• Develop prototypes and production components for client AI solutions: agent
• workflows, RAG pipelines, LLM integrations (Azure OpenAI, AWS Bedrock, Google
• Vertex, Anthropic), MCP-based tool integrations, and the governance and security
• controls around them. Deliver custom adapters and local tooling for regulated,
• cloud-restricted, or air-gapped environments where standard SaaS approaches
• cannot go.
• OWN THE RELATIONSHIP THROUGH DELIVERY.
• Act as the trusted technical advisor from first workshop through go-live: run
• enablement sessions, support adoption, troubleshoot in production, and expand
• the engagement where you see genuine value for the client.

• 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.
• 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.
• 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.
• 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.
• The Salary Range for this role is $180,000 - $230,000. At AvePoint, we strive to
• offer competitive, fair, and equitable total rewards. The listed salary range
• represents a good faith estimate, with final offers based on location,
• experience, skills, and qualifications. The listed range reflects base salary
• only; our total rewards include base salary, comprehensive benefits (medical,
• dental, vision, 401(k) with match, unlimited PTO), and depending on the role,
• bonuses, commissions, or equity (RSUs). We welcome compensation
• discussions—apply even if your expectations fall outside the range.