At a Glance
- Tasks: Deploy innovative tech solutions at client sites and solve real-world problems.
- Company: Join a cutting-edge company transforming enterprise data into actionable insights.
- Benefits: Competitive salary, health benefits, remote work options, and growth opportunities.
- Other info: Dynamic role with opportunities to work on complex data environments.
- Why this job: Make a tangible impact by automating workflows in pharma and finance sectors.
- Qualifications: Experience in pharma or finance, strong graph literacy, and client communication skills.
The predicted salary is between 60000 - 80000 £ per year.
About us: We build the governed context layer for the agentic enterprise. We take complex, heterogeneous enterprise data and auto-generate knowledge graphs from it — no manual schema design, no ontology engineering. Those graphs power LLM agents that automate workflows that previously required skilled human judgement and hours of manual work.
The role: We sell outcomes, not technology. The core engineering team builds the product. You deploy it. You work at client sites on real problems: validating auto-generated graphs, identifying what workflows are worth automating, building the agent prototype that makes it tangible, and enabling implementation partners to take it into production.
It's a technical role with a client-facing orientation. Equally comfortable reading a graph query and presenting to a CTO. Not a demo engineer — someone who can configure the product, break it, fix it, and explain why it matters to someone who doesn't know what a triple is.
Verticals:
- Pharma & Health: Competitive intelligence synthesis, KOL engagement routing, MLR risk flagging, regulatory change impact assessment. Clinical data, market signals, HCP networks, and regulatory history connected in one graph.
- Finance: Product-to-client matching against versioned eligibility rules, multi-hop contract reasoning, governed advisory with full audit trail. Products, rules, and decisions connected across silos.
What you'll own:
- Getting the graph live. Figure out which connectors a client needs, work with the core team to configure them, inspect the auto-generated graph for correctness — entity coverage, relationship accuracy, gaps that'd break a downstream agent.
- Mapping what's worth automating. Find the workflows that are slow or error-prone because the right context isn't accessible at decision time. Graph analytics surfaces the structure; the goal is always the workflow it unlocks.
- Building the proof of value. A working prototype on real data — credible enough to get a yes, specific enough to hand off. Integrated with the client's existing LLM. Runs live. Tells a clear story.
- Enabling partners. Make the technical handoff to implementation partners work. They build the production system. You make sure they have everything they need to do it without us in the room.
What you'll bring:
- Domain knowledge. Real experience in pharma, finance, or both. Knows what's worth automating and why.
- Graph literacy. Can query and inspect graph structure. Knows whether a generated graph is fit for a workflow.
- Agent fluency. Has built agents that do something real. Knows what goes wrong and why.
- Integration thinking. Can map a client's data environment to the connectors needed to bring it into the graph.
- Demo craft. Builds things that work live. Reliable, clear, polished enough for a sales process.
- Client communication. Holds a room of senior stakeholders. Moves between technical and commercial without losing either audience.
Nice to have:
- Workflow automation in pharma or finance
- GraphRAG and multi-hop reasoning
- Graph quality assessment
- SI / implementation partner experience
- Regulatory data fluency (MiFID II, MLR, ACPR)
- Prior FDE or technical consulting background
- Streamlit or equivalent rapid prototyping
Why this role: Most enterprise AI deployments stall between the model and the workflow. The data's messy, the context is missing, and no one's figured out how to make the agent reliably do the thing the business actually needs. That's exactly the problem this role exists to solve — and you'll be solving it across some of the most complex data environments in pharma and finance, with a product that's built specifically for it. Architectural input, real client problems, and outcomes you can point to.
Forward Deployed Engineer in London employer: ENAIBLE TALENT
As a Forward Deployed Engineer, you will thrive in a dynamic work culture that prioritises innovation and collaboration, working directly with clients to solve complex challenges in the pharma and finance sectors. Our commitment to employee growth is evident through hands-on experience with cutting-edge technology and the opportunity to engage with senior stakeholders, ensuring that your contributions lead to meaningful outcomes. Join us in a role where your technical expertise meets real-world impact, all within an environment that values creativity and continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the pharma and finance sectors. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your experience with graph analytics and workflow automation. Include case studies or projects that demonstrate your ability to solve real problems. This will make you stand out when you’re chatting with potential employers.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by simulating client-facing scenarios. Think about how you’d explain complex concepts to non-technical stakeholders. The more comfortable you are with this, the better you’ll perform when it counts.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. When you apply directly, it shows you’re genuinely interested in joining our team. Plus, it gives us a chance to see your application in the best light possible!
We think you need these skills to ace Forward Deployed Engineer in London
Some tips for your application 🫡
Show Your Technical Skills:Make sure to highlight your technical expertise in your application. We want to see how you can read graph queries and understand complex data structures, so don’t hold back on showcasing your graph literacy and integration thinking!
Tailor Your Experience:When writing your application, connect your past experiences directly to the role. If you've worked in pharma or finance, share specific examples of how you've tackled similar challenges. This helps us see how you fit into our mission of solving real client problems.
Communicate Clearly:Your written application should reflect your ability to communicate with both technical and non-technical audiences. Use clear language and avoid jargon where possible, as we need someone who can hold a room of senior stakeholders and explain complex concepts simply.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for the Forward Deployed Engineer role. Don’t miss out on this opportunity!
How to prepare for a job interview at ENAIBLE TALENT
✨Know Your Graphs
Make sure you brush up on your graph literacy before the interview. Be ready to discuss how you would inspect and validate auto-generated graphs, and be prepared to explain what makes a graph fit for a workflow. This will show that you understand the technical side of the role.
✨Understand the Client's Needs
Research the company and its clients in pharma and finance. Think about the workflows that could be automated and how your experience aligns with their needs. Being able to articulate specific examples of how you've identified and solved similar problems will impress the interviewers.
✨Showcase Your Prototyping Skills
Prepare to discuss any prototypes or projects you've built that demonstrate your ability to create working solutions. Highlight your demo craft and how you can present these solutions clearly to both technical and non-technical stakeholders.
✨Communicate Effectively
Practice explaining complex concepts in simple terms. You’ll need to hold the attention of senior stakeholders, so being able to switch between technical jargon and commercial language is key. Consider doing mock interviews to refine your communication skills.
