Forward Deployed Engineer - AI

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.

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