Forward Deployed Engineer - AI at AvePoint | London, GBR | Rezi

Forward Deployed Engineer - AI at AvePoint

Forward Deployed Engineer - AI

AvePoint · London, GBR

2 weeks ago

Forward Deployed Engineer - AI

AvePoint · London, GBR

20 days ago
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About the Role

As a Forward Deployed Engineer (AI), you will be the technical representative for AvePoint within enterprise customer environments. You will be adept at discussing AI trust, governance, and security, as well as building practical AI solutions to address business challenges. This role involves embedding with customers, managing engagements from start to finish, and delivering measurable results, blending aspects of pre-sales, delivery, and customer-facing engineering.

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.
  • Guide organisations through EU AI Act, NIS2, ISO/IEC 42001.
  • 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%).

Skills

  • AI Trust
  • AI Governance
  • AI Security
  • AI Solutions
  • AI Agents
  • RAG Pipelines
  • LLM Integrations
  • Azure OpenAI
  • AWS Bedrock
  • Google Vertex AI
  • Anthropic
  • MCP-based tool integrations
  • Python
  • C#
  • TypeScript
  • Azure
  • AWS
  • GCP
  • EU AI Act
  • NIS2
  • ISO/IEC 42001
  • NIST AI RMF
  • Gartner AI TRiSM
  • Prompt injection
  • Data leakage
  • Agent permissions
  • AI-SPM / DSPM
  • Model Context Protocol (MCP)
  • Agent runtimes
  • Pinecone
  • Milvus
  • Weaviate
  • Chroma
  • Enterprise data governance
  • Backup
  • Resilience
  • Microsoft 365 ecosystems
  • Public Sector
  • Defence
  • Financial Services
  • Healthcare
  • Air-gapped environments
  • Sovereign cloud environments

Work Type

  • Customer-facing
  • Autonomous
  • Travel (~40%)

Experience Level

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

About the Company

  • 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.

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.