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.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer - AI in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Avepoint or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Avepoint.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Avepoint.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Avepoint that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Forward Deployed Engineer - AI in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Avepoint.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Avepoint and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Avepoint
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Avepoint uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
