Forward Deployed Engineer
DeepJudge is hiring a Forward Deployed Engineer in Zurich, Switzerland. Level rates it ; you can apply on DeepJudge.
Level's read on this job
- Works on AI ●●●○ is how Level rates this forward deployed engineer role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Enterprise Search, Cloud Infrastructure and Sre.
- Level classifies it as a senior role.
- Level lists 23 other open roles at DeepJudge.
AI in this role
Own the technical implementation, deployment, and integration of enterprise AI search platforms for major law firms.
About Us:
DeepJudge is Switzerland’s leading AI and ICT scale-up, transforming how law firms and legal departments access and leverage their knowledge. Founded by former Google search engineers with PhDs in AI from ETH Zurich, and backed by top-tier Silicon Valley investors, we are building the intelligence layer that powers the legal industry.
Every firm can license the same AI models, but no two firms share the same institutional knowledge. Decades of experience, work product, and precedent are often trapped across systems, underused and inaccessible. DeepJudge makes this expertise instantly available through world-class enterprise search and AI infrastructure, enabling firms to automate workflows, build knowledge-powered applications, and turn experience into a lasting advantage.
Our technology is trusted by many of the world’s leading law firms, including Freshfields, Gunderson Dettmer, Holland & Knight, Arent Fox, and Cozen O’Connor. Headquartered in Switzerland with a growing team across North America, we are expanding rapidly and shaping the future of how professional knowledge is discovered and applied.
At DeepJudge, we move fast, think rigorously, and care deeply about what we build. We combine cutting-edge research with close collaboration with our clients to deliver solutions that truly make an impact. If you want to be part of a team defining how AI transforms high-stakes knowledge work, this is the place to do it.
About the role:
As a Forward Deployed Engineer at DeepJudge, you own the technical implementation of our AI search platform for some of the world's leading law firms. Every customer environment is different: from cloud-native deployments to complex on-premise infrastructure, enterprise identity providers, document management systems, and datasets containing hundreds of millions of documents. Your mission is to ensure customers successfully deploy, integrate, and adopt DeepJudge in their environments.
This is a highly technical, customer-facing engineering role that sits at the intersection of software engineering, infrastructure, and enterprise AI. You'll spend your time deploying software, solving complex integration and infrastructure challenges, troubleshooting production issues during customer implementations, and working directly with engineering teams to continuously improve the product and deployment experience. You'll collaborate closely with Sales Engineering, Product, Engineering, and Site Reliability Engineering to make every deployment faster, more reliable, and easier to operate. If you enjoy solving difficult technical problems, working directly with customers, and seeing the impact of your work in production, this role is for you. No travel is required for this role.
Your responsibilities will include:
Owning the technical solution end to end, from architecture and hands-on implementation through production rollout and adoption, adapting DeepJudge to the customer's environment and needs along the way.
Deploying and configuring DeepJudge across cloud and on-premise customer environments.
Integrating DeepJudge with enterprise systems such as document management systems, identity providers, cloud platforms, and other data sources.
Troubleshooting complex issues across deployments, infrastructure, networking, authentication, integrations, and application behavior.
Building deployment automation, implementation tooling, documentation, and operational playbooks that make customer deployments faster, easier, and more scalable.
Working closely with Product, Engineering, and Site Reliability Engineering to solve complex technical challenges and improve both the product and deployment experience.
Bringing recurring customer requirements and challenges back to the team and helping turn them into product and engineering improvements.
Taking ownership beyond your immediate projects: spotting what is missing, fixing what is broken, and helping us build the processes and tools we need as we scale.
You're a great fit if you:
Have 3+ years of experience in Software Engineering, DevOps, Forward Deployment, Solutions Engineering, or a similar technical role.
Have experience deploying or operating enterprise software in production environments.
Have experience with technologies such as Kubernetes, Docker, Azure or GCP.
Enjoy working directly with enterprise customers, building trusted technical relationships, and guiding complex implementation projects from kickoff to production.
Enjoy troubleshooting complex technical problems that span infrastructure, integrations, and application behavior.
Can communicate complex technical concepts clearly to both technical and non-technical audiences.
Bonus: Experience with enterprise search, AI/LLM platforms, document management systems, Infrastructure as Code, or experience in a startup or high-growth SaaS environment
What you can look forward to:
Owning the deployment of AI systems that power knowledge discovery for some of the world's leading law firms.
Solving challenging engineering problems across enterprise infrastructure, cloud platforms, authentication systems, and large-scale data environments
Working closely with experienced engineers, product teams, and customers to shape both our platform and how it is deployed
A high-ownership engineering culture founded by ex-Google search engineers and ETH Zurich AI PhDs, where customer feedback directly influences the product
The opportunity to improve deployment tooling, automation, and operational processes as we scale globally
A collaborative team in Zurich shaping how AI transforms professional knowledge work.
At DeepJudge, we believe great teams are built on diverse perspectives and experiences. We are proud to be an equal opportunity employer and are committed to fostering an inclusive, high-performance culture where everyone can thrive. We welcome applicants of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, disability, veteran status, or any other characteristic protected by law.
If this role excites you, but you feel you don’t meet every qualification, we encourage you to apply anyway and tell us why you’d be a great fit.
How we rate this
Forward Deployed Engineer at DeepJudge rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in forward deployed engineer jobs at this level
Pay
- Typical forward deployed engineer job
- $180k
This posting doesn't list pay. Use the typical forward deployed engineer figure when pay comes up. See forward deployed engineer jobs
Questions you could be asked
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where system deployment was part of your work. What did you do?
- Tell me about a project where customer facing was part of your work. What did you do?
- Tell me about a project where troubleshooting was part of your work. What did you do?
- Tell me about a project where infrastructure was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Software Engineering, System Deployment, Customer Facing, Troubleshooting, and Infrastructure. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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