Engineering

Walker Bowen Talent Partners | Full time

Dallas, United States | Posted on 09/28/2026

Our client is seeking a hands-on AI Platform Lead and Solutions Architect to design, build, secure, and operate the company’s private AI platform, and to serve as the architect of its corporate cloud and infrastructure environment.

This is a technical leadership role with substantial direct execution responsibility. The successful candidate will personally design the model-serving architecture, the gateway and routing layer, the retrieval pipeline, and the hosting design that separates regulated from non-regulated workloads.

The position suits an accomplished platform architect or senior infrastructure engineer who has built production LLM systems and is ready to own an entire platform, including the standards under which it is built.

Our client is developing advanced nuclear energy solutions intended to deliver reliable, scalable, and carbon-free electricity for industrial and grid applications.

Its international team brings together nuclear, engineering, commercial, regulatory, and project-development experience. The organization is focused on disciplined engineering, responsible execution, and the deployment of nuclear energy at meaningful scale.

Our client is building a private AI platform, and this role owns it end to end. You will design and deliver the model-serving infrastructure, the gateway and router layer, the retrieval pipeline, and the tiered hosting architecture that allows engineers, operators, and commercial teams to use AI safely on export-controlled and otherwise sensitive technical material.

Alongside that mandate, you will act as the company’s corporate cloud and infrastructure architect, owning the public cloud footprint and the design decisions that shape where workloads and data live.

The role carries genuine engineering authority. You will set code-quality, review, testing, and release standards for the platform team, serve as the primary technical interface to security, compliance, and export-control stakeholders, and lead model evaluation and selection across a fast-moving landscape of open-weight and proprietary models.

The work touches the company’s reactor program directly, and routing sensitive material to the right place is a requirement rather than an aspiration.

This role is ideal for someone who:

Wants to design a platform from first principles rather than operate one that is already finished.

Finds the intersection of rigorous engineering standards and high-consequence regulated environments energizing.

Communicates architecture clearly to executive, regulatory, and cross-site audiences without losing precision.

Believes clean energy deployment is fundamentally an execution problem and wants their infrastructure work to be part of the solution.

Design and own the end-to-end architecture of our client’s private AI platform, including the model-serving stack, the gateway and router layer, and the retrieval pipeline.

You will architect and enforce the tiered hosting design that separates regulated workloads from general-purpose workloads, and ensure the resulting controls satisfy the export-control and controlled-information requirements that apply to advanced nuclear technology.

You will lead model selection and sequencing across candidate open-weight and proprietary models, own the evaluation harness used to make those decisions, and design GPU infrastructure sized to serve those models reliably, with a capacity plan tied to program milestones.

Set and enforce the code-quality, code-review, testing-gate, and…