Forward Deployed Engineer

Forward Deployed Engineer

Full-Time 36000 - 60000 £ / year (est.) On-site
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At a Glance

  • Tasks: Lead customer deployments and build solutions in real-time to tackle financial crime.
  • Company: Join Arva AI, a pioneering startup revolutionising financial crime intelligence.
  • Benefits: Enjoy competitive salary, equity, remote work options, and significant influence on product direction.
  • Other info: Dynamic startup culture focused on speed, ownership, and meaningful progress.
  • Why this job: Make a real impact in compliance while working with cutting-edge technology and passionate teams.
  • Qualifications: 3+ years in engineering roles, strong technical skills, and customer empathy required.

The predicted salary is between 36000 - 60000 £ per year.

Location: In person, Central London, 4–5 days in office. Type: Full-Time. NB: We are able to sponsor visas.

Note on Salary: For exceptional candidates with strong product impact and relevant experience, we are open to offering compensation above the specified range.

Arva AI is revolutionising financial crime intelligence with our cutting-edge AI Agents. By automating manual human review tasks, we enhance operational efficiency and help financial institutions handle AML reviews, while cutting operational costs by 80%.

Overview: As a Forward Deployed Engineer, you’ll sit at the intersection of customer, product, and engineering. You will lead customer and pilot deployments end-to-end, working directly with users to frame problems, build and ship solutions rapidly, and ensure successful go-lives. You’ll operate in the field, iterating quickly with tight feedback loops, while translating real-world customer needs into clear product insights that shape our roadmap.

Responsibilities:

  • Own customer deployments from first engagement through implementation, launch, and post-go-live iteration.
  • Build, customise, and iterate workflows and integrations directly in customer environments.
  • Act as the technical face of Arva AI with customers, deeply understanding their compliance processes and constraints.
  • Translate customer problems into concrete product requirements, backed by evidence and clear specifications.

What You’ll Do:

  • Customer Deployments: Deliver end-to-end deployments, from problem framing and solution design to implementation and go-live.
  • Build in the Field: Rapidly ship workflows, configurations, and integrations directly with customers, iterating fast based on real usage and feedback.
  • Problem Framing: Work closely with customer stakeholders to deeply understand their operational pain points and success criteria.
  • Product Feedback Loop: Synthesize customer learnings into actionable insights for the product and engineering teams, influencing roadmap priorities.
  • Implementation & Integration: Configure and integrate Arva AI into customer systems, ensuring reliability, performance, and trust.
  • Iteration: Continuously refine deployed solutions to improve accuracy, usability, and customer impact, preventing regressions and edge-case failures.
  • Collaboration: Partner closely with product, engineering, and leadership to align customer outcomes with long-term platform strategy.

Our Culture:

  • Deliver Value Fast: Speed starts with clarity. We first understand what value actually means, for the customer, the business, or the system, and then take the shortest credible path to delivering it. We move quickly without cutting corners on quality, security, or trust.
  • Outcome Obsessed: We obsess over details and take full ownership of wider outcomes, not just tasks. We think like the user, execute with rigor, and validate that every detail works in real conditions.
  • Relentless Urgency: We move with urgency because time matters. We prioritise what truly moves the outcome, make decisions with imperfect information, and act decisively.

What We’re Looking For:

  • Experience: 3+ years in a software, solutions, or forward-deployed engineering role, ideally customer-facing.
  • Technical Strength: Strong engineering fundamentals with the ability to quickly build, adapt, and integrate production systems.
  • Comfort working across APIs, data pipelines, and modern web backends.
  • Customer Empathy: Deep curiosity about how customers operate, with the ability to translate messy real-world problems into structured solutions.
  • Product Mindset: Strong intuition for what should be productised versus solved tactically, and how customer learnings should shape the roadmap.
  • Ownership: Comfortable taking full responsibility for deployments, outcomes, and customer success.
  • Communication: Clear, confident communicator who can work with both technical and non-technical stakeholders.
  • Bias to Action: Thrives in ambiguous environments, moving fast and making progress without waiting for perfect information.

Benefits:

  • Be part of an early-stage startup with significant ownership and influence over product direction.
  • Work directly with leading fintechs and banks on mission-critical compliance problems.
  • Collaborate with a passionate, mission-driven team dedicated to real-world impact.
  • Work from anywhere in the world for 4 weeks a year, in addition to regular team off-sites.
  • Competitive salary and equity package, with bi-annual salary review and yearly performance-based equity refresh.

Ready to Join the Fight Against Financial Crime? If you’re excited to work hands-on with customers, ship real solutions fast, and shape the future of compliance, we’d love to hear from you. Apply now to become an Arvanaut as our Forward Deployed Engineer.

Forward Deployed Engineer employer: Arva AI

Arva is an exceptional employer located in the heart of Central London, offering a dynamic work culture that prioritises speed, outcome obsession, and relentless urgency. Employees enjoy significant ownership in their roles, with opportunities for direct influence on customer service and product development, alongside competitive salaries and equity packages. The company fosters a collaborative environment where team members can thrive, grow, and make a meaningful impact in the fight against financial crime.

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Contact Details:

Arva AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Forward Deployed Engineer

✨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 Arva AI 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 Arva AI.

✨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 Arva AI.

✨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 Arva AI 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

Customer Engagement
Deployment Management
Workflow Customisation
Technical Integration
Problem Framing
Product Insight Translation
API Knowledge

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 Arva AI.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Arva AI 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 Arva AI

✨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 Arva AI 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.