AI Platform Engineer / Solutions Architect

About the role

Meitner Energy is building a private AI platform to support its advanced nuclear technology programs. The role owns the end‑to‑end design, delivery, and operation of the model‑serving infrastructure, gateway, routing, and retrieval pipelines, while also acting as the corporate cloud and infrastructure architect.

Key responsibilities

• Design and own the full architecture of the AI platform, including tiered hosting that separates regulated from general‑purpose workloads.
• Deploy, configure, and tune high‑throughput model‑serving infrastructure, managing quantization, GPU memory, and performance monitoring.
• Implement gateway and routing rules, enforce token accounting, prompt‑injection defenses, and audit‑ready model promotion/rollback.
• Own CI/CD pipelines, automated testing, and engineering standards for code quality, review, and release governance.
• Serve as the primary technical liaison for security, compliance, and export‑control stakeholders.

Required profile

• 3–10 years of professional experience in MLOps, platform or infrastructure engineering, or solutions architecture with a focus on LLM systems.
• Hands‑on production experience deploying high‑throughput model‑serving frameworks for large language models.
• Strong ability to communicate architecture decisions to executive, regulatory, and cross‑site audiences.
• Willingness to work onsite in Dallas and travel internationally periodically.

Required skills

• Python
• Containers and container orchestration (e.g., Kubernetes)
• GPU infrastructure provisioning and inference performance tuning
• Infrastructure‑as‑code on major public cloud platforms
• CI/CD pipeline creation with automated testing and release gates