Hello Reader,

A new job type is getting very popular, called FDE or Forward Deployed Engineer. I analyzed multiple FDE job roles at OpenAI and Google. In this newsletter, we are going to go over what qualities you need to become an FDE, how to crack the interview, and how to excel at the job.

Let's start with a specific job requirement from FDE posting:

• Own delivery across multiple deployments from first prototype to stable production.
• Scope work, sequence delivery, and remove blockers early.
• Make trade-offs between scope, speed, and quality, and adjust plans to protect delivery.
• Embed closely with customer teams to understand their needs and guide adoption of what you build.
• Simplify complexity and make fast, sound decisions under pressure
• Communicate clearly with engineers, product teams, and customer stakeholders

Read that carefully. Does that remind you of anything?

That is a Solutions Architect job description.

These are almost exactly the responsibilities for Solutions Architects. Derive scope from chaos. Navigate trade-offs. Sit inside customer teams. Show the way! The FDE title is new. The skills are not.

Let me map this out clearly so you can see the direct parallel.

The Four SA Pillars That Power the FDE Role

Pillar 1: Derive Scope from Chaos

The FDE requirement says: scope work, sequence delivery, and remove blockers early.

As an SA, you know this well. The more chaos in a project, the more the organization needs someone who can cut through it and define what actually needs to be built. That is exactly what is happening in Gen AI right now. Customers don't know which agentic pattern to use, whether to build MCP, how to handle real-world constraints in production agents, or which framework to commit to. The FDE steps into that chaos and creates clarity.

Pillar 2: Solution Ownership

The FDE requirement says: own delivery from first prototype to stable production.

In SA terms, this is your proof-of-concept to production lifecycle. You don't just draw the diagram. You guide the build, validate the architecture, and make sure the thing actually ships. FDEs are expected to do the same, except with hands-on code alongside the architecture.

Pillar 3: Trade-Off Navigation

The FDE requirement says: make trade-offs between scope, speed, and quality.

SA professionals do this every day when choosing between AWS services that solve the same problem differently. DynamoDB vs. RDS, Lambda vs. ECS, direct API calls vs. event-driven architecture. Every one of those decisions is a trade-off between speed, cost, scale, and complexity. FDE interviews will test this exact thinking.

Pillar 4: Customer Embedding and Influence

The FDE requirement says: embed closely with customer teams and guide adoption.

This is the executive influence part of the SA role. You deliver a solution, then you need to make sure it actually gets adopted. That means working alongside the customer's teams, codifying best practices, and ensuring other projects can inherit what you built. FDEs do the same thing, just in a newer context with AI deployments.

It's critical that solutions architects have good executive communication. They should be able to influence the management and director and vice presidents, as well as go down to the tech level when talking to technical teams

The One Additional Skill You Need

There is one thing FDE requires that traditional SA roles did not always mandate: hands-on coding ability.

Python is the preferred language here, and for good reason. The majority of Gen AI examples, SDKs, and agent frameworks are Python-first. If you already know Python, you are in good shape.

If you know JavaScript or comparable stacks, that works too, but Python gives you the most leverage given the current ecosystem.

Think of it as SA plus a coding layer on top. More emphasis on the SA part

Good News and Bad News

The good news: if you are already a Solutions Architect, a senior tech lead who drives cross-functional projects, or someone with deep IT experience architecting solutions even in on-premises environments, transitioning to FDE is very achievable. All your core SA instincts transfer directly. The only meaningful gap to close is coding proficiency, and that is a focused, learnable skill.

The bad news: if you are early in your career or just starting out, this role is genuinely hard to land right now. The embedding requirement, the customer nuance navigation, the trade-off depth under pressure, executive communication, these are skills that take some years of practice to develop. FDE is not an entry-level role. It rewards experience, just like SA roles.

One More Thing Worth Knowing

I spoke with friends at Google as well. Both Google and OpenAI treat FDE as a pre-sales role. This is not a hardcore backend engineering position. It carries a sales component, a solutioning component, and a delivery component. Which means just having technical credibility is not enough. You also need to know how to handle tough customers and influencing exectuives.

What This Means for You

The FDE role is still evolving, and the requirements will continue to sharpen as companies figure out exactly what they need. But the direction is clear: companies building AI products at scale need people who can sit inside customer organizations, build fast, navigate ambiguity, and drive adoption. That profile is a Solutions Architect with coding skills.

If you are already on the SA path, or actively working toward it, you are closer to this role than you think.

I am also updating my own SA Bootcamp to reflect this. The program already teaches the core SA skills that map directly to FDE requirements. I am incorporating FDE-specific positioning into the current cohort, and it will be a formal part of future cohorts as well.

Let me know if you have questions. I'll be covering more on this as the role continues to develop.

Keep learning and keep rocking 🚀,

Raj

P.S. If you have found this newsletter helpful, and want to support me 🙏:

Checkout my bestselling courses on AWS, System Design, Kubernetes, DevOps, and more: Max discounted links​

Checkout my YouTube channel for Cloud Gen AI tutorial and interview prep videos: Here​

AWS SA Bootcamp with Live Classes, Mock Interviews, Hands-On, Resume Improvement and more: https://www.sabootcamp.com/​