At a Glance
- Tasks: Deploy innovative solutions at client sites, tackling real-world problems with cutting-edge technology.
- Company: Join a forward-thinking company revolutionising enterprise data management.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with the chance to work on groundbreaking AI projects.
- Why this job: Make a tangible impact by solving complex challenges in pharma and finance.
- Qualifications: Experience in pharma or finance, strong graph literacy, and excellent 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.
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 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 tackle real-world 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 client-facing engagement, all within an environment that values creativity and problem-solving.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer
✨Tip Number 1
Get to know the company inside out! Research their products, values, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in what they do.
✨Tip Number 2
Practice your technical skills and be ready to demonstrate them. Whether it's querying graphs or discussing workflow automation, being hands-on will give you the confidence to impress during interviews.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and even referrals that might just land you that interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Forward Deployed Engineer
Some tips for your application 🫡
Show Your Passion for Problem-Solving:When writing your application, let us see your enthusiasm for tackling real-world problems. Share examples of how you've approached complex challenges in the past, especially in pharma or finance, and how you made a difference.
Highlight Your Technical Skills:Make sure to showcase your technical expertise, especially in graph literacy and agent fluency. We want to know about your experience with querying graphs and building agents that deliver real results. Be specific!
Tailor Your Application to Us:Don’t just send a generic application! Tailor it to our role by mentioning how your skills align with what we do at StudySmarter. Show us that you understand our mission and how you can contribute to solving the challenges we face.
Keep It Clear and Concise:While we love detail, clarity is key! Make your application easy to read and to the point. Use bullet points if necessary, and ensure your main achievements stand out. We want to get to know you quickly!
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 can query and inspect graph structures, and why understanding these graphs is crucial for automating workflows in pharma and finance.
✨Showcase Your Domain Knowledge
Prepare to talk about your real-world experience in pharma or finance. Think of specific examples where you've identified what workflows are worth automating and how you approached those challenges. This will demonstrate your value to the team.
✨Master the Art of Communication
Since this role involves client-facing interactions, practice explaining complex technical concepts in simple terms. You should be able to hold a room of senior stakeholders' attention while seamlessly switching between technical and commercial discussions.
✨Demonstrate Your Prototyping Skills
Be ready to discuss any prototypes you've built that run live and tell a clear story. Highlight your demo craft and how you've made technical handoffs work smoothly with implementation partners. This will show that you can deliver tangible outcomes.
