AI Solutions Delivery Lead

About ArchitectNow For 18 years, ArchitectNow has helped businesses ship software that does the work. We are a Microsoft Solutions Partner, with active designations in Digital & App Innovation (Azure), Data & AI (Azure), and Infrastructure (Azure) the practice areas we invest in most heavily and the work we do day in and day out. Across cloud-native applications, AI, the Power Platform, Dataverse, and the managed cloud services that keep production environments running, our focus has always been getting hard things built, well, and on time.

What has changed is how we build them. We are in the middle of a fast, deliberate move into an AI-first practice. Our engineers use Claude, GitHub Copilot, and a growing stack of internal AI tooling to put their experience to work on harder problems and ship stronger solutions faster than the industry standard. Eighteen years of engineering discipline applied to a new generation of tools that combination is what our clients hire us for, and it is the era we are building toward.

We are fully remote across 14 states. We are small enough that the work you do is visible to leadership the same week you do it, and selective about who we hire because the team carries real weight from day one. There are no layers between an engineer and the client by design.

The work we do is for real businesses solving real problems. Right now those businesses are asking a harder question than they were two years ago: how do we weave AI into how the work actually gets done, not bolt it on as a demo. That is the work. And that is why this role exists.

The role

The job of a delivery manager looks different than it did 18 months ago. We are hiring for the version that comes next.

The AI Solutions Delivery Lead is a new role at ArchitectNow that combines what our Technical Delivery Managers have always done own client engagements, run agile teams of senior engineers, drive outcomes with the work of an AI-fluent product manager and business analyst. You will turn client conversations into specifications our development teams can implement, using a Spec-Driven Development (SDD) workflow we have built and continue to refine for AI-augmented teams. You will run delivery for some of our largest engagements. And you will be a major contributor to how we rebuild our SDLC around AI.

If you are already using Claude or Copilot to compress half-day tasks into twenty-minute ones, this is the environment to do that work at scale.

What you will actually do

You will own delivery across multiple significant client engagements, typically our most strategic accounts. These are real software projects with real budgets and real deadlines. You will run agile process for each team, drive sprint planning and refinement, and sit in the client conversations that set direction.

You will write a lot of specs better specs than most people write today, because AI gives you the time to think things through more carefully. You will run scrum for teams of senior engineers who are themselves heavy AI users; they do not need someone who tracks tickets, they need a partner who can engage substantively on an architectural decision and push back on a half-formed user story. You will be on calls with C-level clients walking them through progress and, at times, having the harder conversation about saying no. And you will be looking, constantly, at how we deliver where AI can take cost out, where it can shorten cycle time, and where a new tool changes what is possible.

Who we are looking for

To be clear on scope first: this is not a heads-down software engineering position. Our AI-augmented engineering teams handle the day-to-day code. This is a hybrid product owner, project manager, and business analyst role built for the AI era someone who engages with multiple clients and runs delivery across multiple concurrent projects, using AI as a force multiplier to operate at that scale without losing depth on any single engagement.

That said, this is still a highly technical role, and a real software development background is a meaningful differentiator. We care less about which tech stacks you have worked in than about whether you have actually been hands-on in software delivery sitting with stakeholders on requirements, writing code, reviewing pull requests, debugging in production, and shipping things customers depend on. The more of the SDLC you have lived in, and t…