At a Glance
- Tasks: Lead AI governance workshops and build innovative AI solutions for enterprise clients.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a chance to make a significant impact.
- Why this job: Be the technical face of AI, solving real business challenges with cutting-edge technology.
- Qualifications: 5+ years in software engineering and 2+ years in AI solutions development.
The predicted salary is between 80000 - 100000 £ per year.
About the Role
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 Ave Point 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
• 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 (So Ws) 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 Open AI
- 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 Saa S 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 Open AI
- AWS Bedrock
- Google Vertex AI
- Lang Chain
- Semantic Kernel
• Experience building
- RAG solutions
- Agentic workflows
- Tool/function calling
• Strong programming skills in
- Python
- C#
- Type Script
- 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
- NIST AI RMF
- Gartner AI TRi SM
• 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
Forward Deployed Engineer - AI in London employer: Avepoint
At AvePoint, we pride ourselves on being an exceptional employer in the tech industry, offering a dynamic work culture that fosters agility, passion, and teamwork. Our employees benefit from market-competitive compensation, generous annual leave, and robust career progression opportunities, all while working collaboratively to deliver innovative software solutions. With unique perks like extra paid days off for personal milestones and a commitment to employee growth, AvePoint is the ideal place for those looking to thrive in a rewarding sales career.
