FDE: The $1M/Year AI Job Explained

What is a Forward Deployed Engineer? [00:04]

• FDEs are crucial for applying AI intelligence to specific business contexts, bridging the gap between general AI capabilities and unique company processes.
• The advantage in the AI age lies not in possessing intelligence, but in where, how, and why it is used.
• FDEs ensure AI is applied in a way that maximally benefits a specific company.

  "So where does the advantage go? It goes into deployment. So the edge is no longer who has the intelligence. It's where, how, and why they use it. And that is the role of an AI for deployed engineer."

The Role of Palantir and FDEs [04:09]

• The term Forward Deployed Engineer was popularized by Palantir, which uses an ontology and software stack to connect data and deploy engineers on-site.
• Palantir FDEs learn client workflows and create custom solutions, effectively offering consulting for the software space.
• The success of Palantir's model suggests that the FDE approach can work for other companies.

  "So Palunteer really popularized the idea of essentially which was what was consulting but for the software space they coined the term for a deployment engineer and it really started to allow their business to take off."

Three Stages of FDE Involvement [06:17]

• Understanding Business Reality: Documenting how work actually happens, including processes, software used, and exception handling, often requiring on-site observation and interviews.
• FDE Judgment: Deciding where AI intelligence should be applied and where it should not, based on risk, ROI, and necessity, rather than a blanket application of AI.
• Building the Deployed AI System: Developing the software, which can range from configuring workflows to writing production code, depending on the company and role.

  "So there's kind of three stages to a forward deployed engineer's involvement at a company. The first is understanding the business reality. So it's how the work actually happens today."

Earning Potential for FDEs [11:35]

• The role of an FDE is currently one of the hottest in technology, with high demand and compensation.
• Salaries can range from $150,000 base with equity to over $1 million per year.
• These roles are well-compensated for individuals who effectively combine consulting and technical skills.

  "A lot of money. You have uh no idea how expensive it's gotten. Both from a we're hiring perspective, but also in terms of what the market's demanding."

The Importance of Audits and Evals [20:20]

• FDEs are involved in auditing existing workflows to identify bottlenecks and areas for AI integration.
• Creating evaluation suites is crucial to ensure AI systems behave correctly and to measure their performance.
• The process involves building, observing, and improving systems, with a continuous feedback loop.

  "So the job of an FTE when you're building has three parts. It's obviously auditing, then creating evaluation suites to make sure the system behaves correctly."

Choosing LLMs and Building Agents [23:01]

• While companies can be model-agnostic, aspiring FDEs should initially focus on mastering one model and agent-building platform.
• The value of an FDE lies in their ability to understand business needs and apply any model effectively, rather than being tied to a specific provider.
• Building robust agents requires focusing on agent looping, tool usage, guardrails, memory, and audit trails.

  "Get very very good at one of them because that will be the foundation that you then you know okay let's let's try out claude tomorrow if I'm already good at open AI's you know Asian building platform okay I feel more confident about that."

The 30-Day Plan for Aspiring FDEs [39:01]

• The plan focuses on practical, hands-on experience to build an agent that completes a real-world workflow.
• Key steps include building a functional agent with tools and guardrails, ensuring system recoverability and failure handling, making the system economically viable through measurement, and defending the system by understanding its business impact.
• The goal is to gain practical experience and create evidence of capability within 30 days, even without a formal title.

  "So the first step is build an agent that can complete a real loop, right? Build an agent that's actually useful as a workflow."

Learning and Future of FDEs [47:08]

• Traditional education does not yet cover FDE roles, making self-directed learning essential.
• Resources like YouTube and Twitter are key for staying updated on AI advancements and learning practical skills.
• The field is rapidly evolving, offering significant opportunities for those who learn and apply AI concepts proactively.

  "They don't teach you this at school. They should. Uh I'm sure we'll have university courses on FTE soon."