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About the Role

As a Forward Deployed Engineer (AI), you will be the technical representative of AvePoint within enterprise customer organizations. You will be adept at discussing AI trust and governance with executives, translating business challenges into AI project scopes, and building initial prototypes. This autonomous, customer-facing role involves owning engagements from discovery through to production, inspired by the models of leading AI companies.

Responsibilities

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.
Help establish AI inventories, approval workflows, risk classifications, audit evidence, and practical AI operating models.
Scope & Shape AI Projects
Work directly with business stakeholders to understand the real business problem behind AI initiatives.
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, and 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, and LLM integrations.
Integrate with Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, and MCP-based tools.
Implement governance and security controls.
Build custom tooling for regulated, cloud-restricted or air-gapped environments.
Own Customer Delivery
Remain the trusted technical advisor throughout the engagement.
Run enablement sessions.
Support customer adoption.
Troubleshoot production issues.
Identify opportunities to expand engagements where genuine customer value exists.

Requirements

5+ years in Software Engineering, Solutions Architecture or Technical Consulting.
2+ years building modern AI/LLM solutions in production.
Hands-on experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, LangChain, and Semantic Kernel.
Experience building RAG solutions, Agentic workflows, and Tool/function calling.
Strong programming skills in Python, C#, and 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%).
AI Security experience including prompt injection, data leakage, agent permissions, AI-SPM / DSPM.
Experience with Model Context Protocol (MCP), Agent runtimes, Pinecone, Milvus, Weaviate, Chroma.
Experience with 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.

Skills

AI Trust
AI Governance
AI Security
AI Solutions
LLM
RAG
Agentic Workflows
Tool/Function Calling
Python
C#
TypeScript
Azure
AWS
GCP
Identity Management
Networking
Data Services
Azure OpenAI
AWS Bedrock
Google Vertex AI
LangChain
Semantic Kernel
Model Context Protocol (MCP)
Agent Runtimes
Pinecone
Milvus
Weaviate
Chroma
Enterprise Data Governance
Backup
Resilience
Microsoft 365 Ecosystems

Work Type

Customer-facing
Autonomous

Experience Level

5+ years in Software Engineering, Solutions Architecture or Technical Consulting
2+ years building modern AI/LLM solutions in production

Salary/Compensations

$180,000 - $230,000

Benefits

Medical
Dental
Vision
401(k) with match
Unlimited PTO

About the Company

AvePoint is the global leader in data protection, unifying data security, governance, and resilience to provide a trusted foundation for AI.
More than 28,000 customers rely on the AvePoint Confidence Platform to secure, govern, and rapidly recover data across Microsoft, Google, Salesforce, and other cloud environments.
Our global partner ecosystem includes approximately 6,000 MSPs, VARs, and SIs, and our solutions are available in over 100 cloud marketplaces.

Equal Opportunity

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.