Senior Solutions Architect, AI and HPC Infrastructure

Ladders

United States

A distancia

USD 184.000 - 357.000

Jornada completa

hace 14 horas
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Ventajas ofrecidas por este puesto de trabajo

Equity opportunities
Comprehensive health benefits
Flexible work arrangements
Professional development resources
Collaborative and innovative work环境

Descripción de la vacante

Ladders is seeking a Senior Solutions Architect, AI and HPC Infrastructure, to partner with energy-sector customers on AI infrastructure strategy and deployment. The role blends technical advisory work with customer education in a remote setting, with occasional travel to customer sites.

You will lead architecture reviews, deployment decisions, and reference designs across compute, networking, storage, and systems management for demanding AI workloads in real-world environments.

Formación

  • 8+ years of hands-on experience in AI infrastructure and accelerated computing.
  • Deep knowledge of AI cluster orchestration and data center networking technologies.
  • Excellent communication and collaboration skills.

Responsabilidades

  • Partner with energy-sector customers on architecture reviews and production deployment guidance.
  • Advise on the design and optimization of AI infrastructure for energy customers.
  • Support infrastructure design across compute, networking, and storage for AI workloads.
  • Drive adoption of systems monitoring and management tools.
  • Document learnings and create educational materials for customers.
  • Build reference architectures and technical playbooks for AI infrastructure.
  • Collaborate virtually to ensure customer success, with occasional travel.

Conocimientos

AI infrastructure
Accelerated computing
AI cluster orchestration
Data center networking
Communication & PM

Educación

Bachelor's/Master's/PhD in CS/Engineering

Descripción del empleo

For our client, we are seeking a Senior Solutions Architect, AI and HPC Infrastructure to join the team of a leader in the Telecommunications & Hardware space.

This role will partner closely with energy-sector customers to shape AI infrastructure strategies that support demanding workloads in real-world operational environments. You will guide architecture reviews, production deployment decisions, and reference designs across compute, networking, storage, and systems management. The position combines deep technical advisory work with customer education and cross-functional collaboration to help drive successful adoption of advanced infrastructure solutions.

Location: Remote

Compensation: $184,000 – $356,500 annually

Responsibilities
  • Partner with energy-sector customers on architecture reviews and production deployment guidance
  • Advise on the design and optimization of AI infrastructure for energy customers
  • Support infrastructure design across compute, networking, and storage for AI workloads
  • Drive adoption of systems monitoring and management tools
  • Document learnings and create educational materials for customers
  • Build reference architectures and technical playbooks for AI infrastructure
  • Collaborate virtually to ensure customer success, with occasional travel
Qualifications
  • BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent experience
  • 8+ years of hands‑on experience in AI infrastructure and accelerated computing
  • In-depth knowledge of AI cluster orchestration and data center networking technologies
  • Familiarity with infrastructure requirements for AI workloads
  • Working knowledge of energy sectors and their operational environments
  • Excellent communication, problem-solving, and collaboration skills
  • Strong self-direction for managing complex projects
Benefits
  • Equity opportunities
  • Comprehensive health benefits
  • Flexible work arrangements
  • Professional development resources
  • Collaborative and innovative work environment

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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