Forward Deployed Engineer in London

Forward Deployed Engineer in London

London Full-Time 70000 - 90000 € / year (est.) Home office (partial)
Zendesk, Inc.

At a Glance

  • Tasks: Design and deliver AI solutions that transform customer experiences.
  • Company: Join Zendesk, a leader in customer service technology.
  • Benefits: Flexible hybrid work, competitive salary, and opportunities for growth.
  • Other info: Collaborative environment with a focus on learning and connection.
  • Why this job: Be at the forefront of AI innovation and make a real impact.
  • Qualifications: 5+ years in software engineering with strong skills in Python and JavaScript.

The predicted salary is between 70000 - 90000 € per year.

Join us at Zendesk, where we're on a mission to power exceptional service for every person on the planet. We're accelerating that ambition by building products rooted in AI, automation, and intelligent customer experiences, because behind every interaction lies an opportunity to make a human connection.

We’re hiring a Forward Deployed Engineer (FDE) to join our Technical Presales team. Where you’ll be an elite hybrid: part software engineer, part strategic consultant. You’ll do more than just sell the dream, you’ll execute what’s possible. In this role you’ll be embedded with strategic customers to design, build, and deliver production-grade AI solutions that unlock measurable ROI. You’ll translate customer needs into robust integrations, architect LLM-powered workflows, and collaborate cross-functionally to turn real-world friction into product improvements.

You will play a vital role in growing Zendesk’s enterprise footprint by delivering high-impact, scalable AI deployments. Building trusted technical partnerships, delivering crisp, production-ready solutions, and amplifying Zendesk’s AI capabilities within complex, high-value accounts.

What you’ll be doing
  • Lead end-to-end technical delivery of AI agent and LLM-powered solutions: discovery, scoping, system design, PoC, production rollout, and operational handoff.
  • Build production-grade integrations and custom connectors (APIs, data pipelines, RAG systems) to surface high-quality signals into Zendesk AI workflows.
  • Troubleshoot and resolve escalated technical blockers across data, infra, and model behavior. Act as the field’s final line of defense for complex issues.
  • Collaborate closely with Sales engineering and product teams to map undocumented systems, define integration patterns, and implement solutions.
  • Translate customer learnings into product feedback and prioritized roadmap items; partner with Zendesk Product and Engineering to reduce future deployment friction.
What you bring to the role
  • Founder mindset: comfortable navigating ambiguity, mapping unknown systems, and delivering results without a predefined playbook.
  • Engineering rigor: 5+ years building production systems; strong software engineering fundamentals and attention to quality.
  • Full-stack fluency: experience across frontend (React/TypeScript), backend (Python / Node / Java / Ruby), REST/GraphQL APIs, and cloud infrastructure (AWS, GCP, or Azure).
  • AI/LLM expertise: practical experience with LLMs, prompt engineering, retrieval-augmented generation (RAG), vector stores, and evaluation/guardrails for model safety and reliability.
  • Systems integrator: proven ability to design secure data ingestion, ETL/data pipelines, and work with diverse data stores and message systems.
  • Excellent communicator: able to present trade-offs to executives and pair-program with customer engineers; strong written runbooks and documentation skills.
  • Travel readiness: willing to travel as needed to customer sites (typical range 25–50%).
Basic qualifications
  • 5+ years software engineering experience delivering production systems.
  • Proficient in Python and JavaScript/TypeScript; experience with at least one backend language (Java, Ruby, or Go) preferred.
  • Hands-on experience deploying or integrating LLM-based solutions in production (RAG, vector DBs, model evaluation).
  • Practical experience with cloud platforms (AWS/GCP/Azure) and containerized deployments (Docker, Kubernetes).
  • Comfortable working onsite with customers and traveling up to 50% as required.
Preferred qualifications
  • Prior FDE, Professional Services, Solutions Engineering, or Technical Account Management experience delivering enterprise AI or SaaS deployments.
  • Experience with specific LLM tooling and frameworks (LangChain, LlamaIndex, Haystack, or similar).
  • Familiarity with Zendesk products and APIs, or experience integrating customer support/contact-center platforms.
  • Background in observability and operationalization of ML/AI (monitoring, SLOs, cost controls, retraining pipelines).
  • Experience with data governance, PII handling, and enterprise security/compliance constraints.

Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster inclusivity in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law.

Forward Deployed Engineer in London employer: Zendesk, Inc.

At Zendesk, we pride ourselves on being an exceptional employer that fosters a culture of collaboration, innovation, and inclusivity. As a Forward Deployed Engineer, you'll have the opportunity to work with cutting-edge AI technologies while enjoying a hybrid work environment that balances in-office connection with remote flexibility. We are committed to your professional growth, offering ample opportunities for skill development and career advancement within a supportive team atmosphere.

Zendesk, Inc.

Contact Detail:

Zendesk, Inc. Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Forward Deployed Engineer in London

Tip Number 1

Network like a pro! Reach out to people in your industry, especially those at Zendesk. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Prepare for the interview by understanding Zendesk's products and how they relate to AI solutions. Show us you’re not just a tech whiz but also someone who gets our mission and values.

Tip Number 3

Practice your problem-solving skills! As a Forward Deployed Engineer, you'll need to tackle real-world challenges. Think through potential scenarios and how you'd approach them.

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 in London

Software Engineering
AI/LLM Expertise
Full-Stack Development
Python
JavaScript/TypeScript
REST/GraphQL APIs
Cloud Infrastructure (AWS, GCP, Azure)

Some tips for your application 🫡

Show Your Passion for AI:When writing your application, let your enthusiasm for AI and customer experience shine through. We want to see how you can bring that passion into the role of Forward Deployed Engineer and make a real impact.

Tailor Your Experience:Make sure to highlight your relevant experience in software engineering and AI solutions. We’re looking for specific examples that demonstrate your skills in building production systems and integrating LLMs.

Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your achievements and how they relate to the role. We appreciate well-structured applications that are easy to read.

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 ensure you’re considered for this exciting opportunity at Zendesk.

How to prepare for a job interview at Zendesk, Inc.

Know Your Tech Inside Out

As a Forward Deployed Engineer, you'll need to showcase your technical prowess. Brush up on your knowledge of Python, JavaScript/TypeScript, and any backend languages you’re familiar with. Be ready to discuss your experience with LLMs and cloud platforms like AWS or GCP, as these will likely come up during the interview.

Demonstrate Your Problem-Solving Skills

Zendesk is looking for someone who can navigate ambiguity and deliver results. Prepare examples from your past experiences where you've tackled complex issues or designed innovative solutions. This will show that you have the founder mindset they value.

Communicate Clearly and Effectively

Excellent communication is key in this role. Practice explaining technical concepts in simple terms, as you may need to present trade-offs to executives or collaborate with customer engineers. Having clear runbooks and documentation skills will also be beneficial.

Show Your Passion for AI and Customer Experience

Since this role involves deploying AI solutions, express your enthusiasm for AI technologies and how they can enhance customer experiences. Share any relevant projects or insights you've gained in this area, as it will demonstrate your commitment to Zendesk's mission.