Forward Deployed Engineers. What they do and when you need one

In Vienna, Erste Bank, Google Austria and the consultancy accilium are all hiring Forward Deployed Engineers right now. For a long time the job title was mostly known from Palantir. Today it shows up in job ads from companies that want to move AI from the demo into daily operations. This post covers what the role is, when it pays off for your company, and whether you should hire one or bring in a team.

What a Forward Deployed Engineer does

A Forward Deployed Engineer is a senior software engineer who works directly with the client. They sit next to the people who run a process every day, find out where the time goes, and build the solution themselves. Then they stay until it holds up in daily work.

The difference to a classic implementation is the code. Configuring a finished product or connecting an API is implementation, whatever the role is called. A Forward Deployed Engineer writes software for this specific client and this specific process.

Where the role comes from

Palantir coined the term. Their software was too complex to simply ship, so they sent engineers to their customers who built on site until it worked. Generative AI has brought the model back. OpenAI, Anthropic, Salesforce and Databricks have built their own Forward Deployed Engineering teams, because a language model only pays off once it works inside a company's systems and processes.

Why AI projects need exactly this role

Most AI projects get stuck between the demo and daily operations. The demo runs on sample data. The real process depends on Outlook, the CRM, the ERP and exceptions that are in no manual, because only the people doing the work every day know about them.

That is where a Forward Deployed Engineer comes in. They see the exceptions first-hand instead of reading about them in a requirements document. They connect the model to the systems where the data actually lives. And they build in the checks your team needs to trust the output. What that looks like technically, with AI agents, LLM pipelines and the Model Context Protocol, is on our AI development page.

Forward Deployed Engineer, consultant or freelancer?

All three can move your AI project forward. What they deliver is different.

AI consulting delivers an analysis and a recommendation. The implementation is then up to you or another provider.
Freelancers and staff augmentation deliver capacity. You get individual developers by the hour and steer them yourself.
Forward Deployed Engineers deliver a working solution. A team takes responsibility for the result, works with your users and stays from the analysis through to operations.

When a Forward Deployed Engineer pays off

A Forward Deployed Engineer pays off when several of these apply.

The process happens often. Dozens or hundreds of cases a month, such as enquiries, quotes, incoming invoices or orders.
It runs across several systems. The data is spread across Outlook, CRM, ERP or your own software.
There are many exceptions. The work takes experience that lives in your people's heads.
You have no AI team of your own. And nobody in-house has the time to learn models, prompts and evaluation on the side.
Someone owns the process. Without that person, nobody can decide at the end whether the solution is good enough.

If you want to check where your project would get stuck first, take our AI Readiness Check. It takes 4 minutes.

Hire or bring in a team?

Hiring a Forward Deployed Engineer in Austria takes a while. The open positions in Vienna list salaries from around €46,000, and accilium names €55,000 to €75,000 gross a year. The profile is a senior who can build software, talk to business departments and get AI systems into production. People like that are scarce.

Hiring makes sense if you plan to rebuild many processes over several years and can build a team of your own. For the first process an external team is usually faster. It brings experience from other projects, and after a few weeks you know whether the topic pays off for you.

How we work as Forward Deployed Engineers

At Dotbite we start with a free kick-off and find the process with the biggest impact together. Then we walk through it with the people who run it every day and build the AI into your existing systems. The first version is usually live after 4 to 12 weeks. After that we measure, improve and move on to the next process. Decisions about money, contracts and customers stay with your people. More on our page about Forward Deployed Engineers in Vienna.

If your AI project is stuck between the demo and daily operations, put someone in your team who builds until it runs. That usually gets you further than the next, better model.

Which process would you hand over first? We will look at it with you. Book a free discovery call →

Frequently Asked Questions

What is a Forward Deployed Engineer?

A senior software engineer who works directly with the client, on site or remote. They find the process that costs the most time, build the solution into the existing systems and stay until it runs in daily work. Palantir coined the term.

What is the difference between a Forward Deployed Engineer and a solutions engineer?

A solutions engineer supports sales and helps set up and configure an existing product for the customer. A Forward Deployed Engineer writes custom software for the customer's process and stays until it is in operation.

Which companies use Forward Deployed Engineers?

Palantir built the role. Today OpenAI, Anthropic, Salesforce and Databricks have their own teams for it too. In Vienna, Erste Bank, Google Austria and accilium are among those hiring Forward Deployed Engineers.

How much does a Forward Deployed Engineer earn in Austria?

Open positions in Vienna list salaries from around €46,000 gross a year. accilium names €55,000 to €75,000 (as of October 2026). Almost all of them are looking for seniors.

When does a Forward Deployed Engineer pay off for an AI project?

When a process happens often, runs across several systems, has many exceptions and there is no AI team in-house. Then connecting to the real systems and workflows is the hard part, and that is exactly what a Forward Deployed Engineer takes on.

How long until a first version is live?

At Dotbite the first version is usually live after 4 to 12 weeks. What decides the timeline is rarely the model. It is the integration into the systems and the testing until the team trusts the output.