Forward Deployed Engineer
Forward Deployed Engineer

Forward Deployed Engineer

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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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 transforming financial crime intelligence.
  • Benefits: Competitive salary, equity package, remote work options, and regular team off-sites.
  • Why this job: Make a real impact in fintech while working with cutting-edge technology.
  • Qualifications: 3+ years in engineering roles, strong technical skills, and customer empathy.
  • Other info: Be part of a passionate team dedicated to solving mission-critical compliance challenges.

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

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%.

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.

About the Role

As a Forward Deployed Engineer, you will:

  • 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. If something falls short, we fix it properly and prevent recurrence, always raising the bar.
  • Relentless Urgency: We move with urgency because time matters. We prioritise what truly moves the outcome, make decisions with imperfect information, and act decisively. Urgency means focus, momentum, and driving meaningful progress without unnecessary delay.

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.

Why Join Us?

  • 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.

Arva AI is trusted by fast-growing fintechs like Keep to reduce friction, improve compliance outcomes, and unlock scale.

Forward Deployed Engineer employer: Arva AI Inc.

Arva AI is an exceptional employer, offering a dynamic work environment in the heart of Central London where innovation meets impact. As a Forward Deployed Engineer, you'll enjoy significant ownership over your projects while collaborating with a passionate team dedicated to revolutionising financial crime intelligence. With competitive salaries, equity packages, and opportunities for professional growth, Arva AI fosters a culture of urgency and outcome obsession, ensuring that every employee can make a meaningful contribution to the future of compliance.
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Contact Detail:

Arva AI Inc. Recruiting Team

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 Arva AI's mission, 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 problem-solving skills! As a Forward Deployed Engineer, you'll need to think on your feet. Try mock scenarios where you have to troubleshoot or design solutions quickly, just like you would in the field.

✨Tip Number 3

Network like a pro! Connect with current employees on LinkedIn or attend industry events. This can give you insider tips and might even lead to a referral, which is always a bonus!

✨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 the team at Arva AI.

We think you need these skills to ace Forward Deployed Engineer

Customer Engagement
Deployment Management
Workflow Customisation
Technical Integration
API Knowledge
Data Pipeline Management
Problem Framing
Product Insight Translation
Collaboration with Stakeholders
Communication Skills
Adaptability in Ambiguous Environments
Ownership of Outcomes
Rapid Prototyping
Feedback Loop Synthesis

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for the role shine through! We want to see why you're excited about being a Forward Deployed Engineer at Arva AI and how you can contribute to our mission of revolutionising financial crime intelligence.

Tailor Your Experience: Make sure to highlight your relevant experience in software or forward-deployed engineering roles. We’re looking for someone who can take ownership of customer deployments, so share specific examples of how you've successfully managed similar projects in the past.

Be Clear and Concise: We appreciate clarity in communication, so keep your application straightforward. Use bullet points where possible to make it easy for us to see your key achievements and skills that align with the job description.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at Arva AI Inc.

✨Understand the Customer's Needs

Before your interview, research Arva AI and its customers. Familiarise yourself with the financial crime landscape and how AI can enhance compliance processes. This will help you demonstrate your customer empathy and ability to translate real-world problems into structured solutions.

✨Showcase Your Technical Skills

Be prepared to discuss your technical experience in detail. Highlight specific projects where you've built, customised, or integrated systems. Use examples that showcase your comfort with APIs, data pipelines, and modern web backends, as these are crucial for the Forward Deployed Engineer role.

✨Demonstrate a Bias to Action

Arva AI values urgency and decisiveness. Share examples from your past where you took initiative in ambiguous situations. Discuss how you moved quickly to solve problems or implement solutions, even when you didn't have all the information at hand.

✨Communicate Clearly and Confidently

Practice articulating your thoughts clearly, especially when discussing technical concepts. You’ll need to communicate effectively with both technical and non-technical stakeholders. Consider doing mock interviews to refine your communication style and ensure you can convey complex ideas simply.

Forward Deployed Engineer
Arva AI Inc.
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