AI Platform Lead / Solutions Architect

Walker Bowen Talent Partners•Plano, TX

2d•$185,000 - $210,000•Onsite

About The Position

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.

Requirements

Bachelor’s degree in computer science, engineering, or a related technical discipline, or equivalent professional experience.
7+ years of professional experience in software or infrastructure engineering, including at least 3 years focused on the design and operation of LLM or retrieval-augmented generation platforms.
Hands-on production experience deploying and operating a high-throughput model-serving framework for large language models, with the ability to explain the latency, throughput, and cost trade-offs behind your design decisions.
Strong architecture proficiency across major public cloud platforms, with demonstrated declarative infrastructure-as-code practice.
Demonstrated experience designing for or operating within export-controlled, controlled unclassified information, or similarly regulated data environments, including reasoning independently about data-sensitivity routing and security boundaries.
A track record of setting and holding engineering standards on a technical team, covering code review, testing, and release governance.
Excellent written and verbal communication for executive, regulatory, and cross-site audiences, and the ability to work on-site in Dallas and travel internationally periodically.

Nice To Haves

Professional working proficiency in Spanish. Spanish is strongly preferred because the position requires frequent technical collaboration with colleagues in Argentina.
Experience provisioning GPU infrastructure and planning capacity for inference workloads.
Familiarity with export-control or comparable information-handling frameworks in nuclear, defense, aerospace, or another regulated industrial setting.
Experience collaborating with technical teams in Argentina or Latin America.
Relevant professional certifications in cloud architecture, security, or platform engineering.

Responsibilities

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.
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.
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 release-governance standards under which the platform is built.
Establish deployment and rollback practices that meet the reliability and auditability expectations of a nuclear engineering environment, and raise the engineering bar through hands-on review, pairing, and documented standards that others can follow without you in the room.
Own the company’s corporate cloud architecture across its public cloud providers, including infrastructure-as-code practice, cost governance, and reliability design.
Make and document the decisions that determine where applications and data reside across the company’s sites, and ensure that cloud and on-premises infrastructure meets the security and data-residency requirements of a multi-jurisdiction, bilingual organization.
Serve as the primary technical interface to security, compliance, and export-control functions for AI and infrastructure decisions.
Support provider selection and contribute technical design input to authorization packages, and communicate architecture decisions and trade-offs clearly to the Chief Information Officer, executive leadership, and technical teams across sites and languages.