AI Platform Lead

Meitner Energy; United States; Vor Ort; USD 180.000 - 260.000; Vollzeit

Zusammenfassung

Meitner Energy is seeking a hands-on AI Platform Lead and Solutions Architect to design, build, secure, and operate the company’s private AI platform. You’ll own the model-serving architecture, gateway and routing layer, retrieval pipeline, and hosting design that separates regulated from non-regulated workloads.

You will also steward the corporate cloud and infrastructure architecture, guide security, compliance, and export-control interfaces, and set engineering standards for a high-assurance

Qualifikationen

• Bachelor’s degree or equivalent in a related field.
• 7+ years in software or infra engineering.
• 3+ years designing and operating LLM or retrieval-augmented platforms.
• Hands-on experience with high-throughput model-serving frameworks.
• Strong cloud architecture with declarative IaC practices.
• Experience with export-controlled or regulated data environments.
• Proven standards for code review, testing, and release governance.
• Excellent written and verbal communication; willingness to work on-site in Dallas and travel internationally.

Aufgaben

• Design end-to-end architecture of Meitner’s private AI platform, including model-serving stack and routing layers.
• Lead evaluation and sequencing of open-weight and proprietary models; design GPU infrastructure.
• Set and enforce code-quality, review, testing, and release governance standards.
• Own corporate cloud architecture across public clouds and on-premises, with security and data residency in mind.
• Interface with security, compliance, and export-control teams; communicate decisions to executives and teams.

Kenntnisse

LLM platform design

Cloud architecture

Security and compliance

Executive communication

Ausbildung

Bachelor’s degree in computer science or related field

Tools

Terraform

Kubernetes

AWS / GCP / Azure

CI/CD tooling

Jobbeschreibung

Meitner Energy 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.

About Meitner Energy

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

Our international team brings together nuclear, engineering, commercial, regulatory, and project-development experience. We are building an organization focused on disciplined engineering, responsible execution, and the deployment of nuclear energy at meaningful scale.

The Opportunity

Meitner 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 Meitner’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.

What You'll Do

AI Platform Architecture and Delivery

Design and own the end-to-end architecture of Meitner’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.

Engineering Standards and Technical Leadership

Set and enforce the code-quality, code-review, testing-gate, and release-governance standards under which the platform is built. You will 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.

Corporate Cloud and Infrastructure

Own Meitner’s corporate cloud architecture across its public cloud providers, including infrastructure-as-code practice, cost governance, and reliability design. You will 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.

Compliance, Security, and Stakeholder Engagement

Serve as the primary technical interface to security, compliance, and export-control functions for AI and infrastructure decisions. You will 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.

What We're Looking For

Required Qualifications

• 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.

Preferred Qualifications

• 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.

The Candidate We Are Seeking

The strongest candidate will be a platform architect who has shipped production LLM systems and remained close to the implementation. This may be an excellent next step for a senior platform engineer, principal infrastructure engineer, or solutions architect who is ready to hold full architectural authority over a platform and the standards that govern it. Candidates should be prepared to discuss systems they have personally designed, deployed, tuned, and defended under scrutiny.