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AvePoint
Forward Deployed Engineer AIAvePoint • London, England, UK
Forward Deployed Engineer AI

Forward Deployed Engineer AI

AvePoint • London, England, UK
24 days ago
Job type
  • Full-time
Job description

About the Role

Enterprises are adopting AI faster than they can govern it and theyre 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) youll be the technical face of AvePoint inside enterprise customers. Youll 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.

Youll embed with customers own engagements end-to-end and deliver tangible outcomes.

This isnt a traditional pre-sales role or a back-office delivery position. Its a highly autonomous customer-facing engineering role inspired by the engagement models used by leading AI companiesowning problems from discovery workshops through to production.

What Youll 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.

Youll:

  • 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

Youll also build custom tooling for regulated cloud-restricted or air-gapped environments where SaaS solutions arent 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 Were 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 skillsfrom 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.

#LI-SB1


Required Experience:

IC


Employment Type : Full Time
Experience: years
Vacancy: 1
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Forward Deployed Engineer AI • London, England, UK

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