Solutions Architect - AI Infrastructure (Pre-Sales)

Calliseom; United States; Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive pay

Senior role

Flexible work

Travel to customers

Leadership access

Job summary

Calliseom Inc. is seeking a senior Solutions Architect to partner with our sales team and design GPU-based infrastructures for customers. You will run technical discovery, plan cluster configurations, and oversee proofs of concept and benchmarks, handing a clean design to our platform team.

You will work with customers' ML and infrastructure engineers, explaining complex architectures clearly to technical and business audiences, and you may travel to meet customers and our Tashkent headquarters.

Qualifications

• 6+ years in solutions architecture, HPC or ML infrastructure.
• Hands-on knowledge of NVIDIA GPUs, InfiniBand / RoCE and Kubernetes or Slurm.
• Ability to explain complex infrastructure clearly to technical and business audiences.
• Fluent English.

Responsibilities

• Run technical discovery on training and inference workloads.
• Design GPU cluster, fabric and storage configurations for proposals.
• Plan and run proofs of concept and benchmarks with customers.
• Answer security, compliance and technical questionnaires.
• Feed customer requirements back to the platform and product teams.

Skills

Solutions architecture

HPC

ML infrastructure

NVIDIA GPUs

InfiniBand RoCE

Kubernetes

Slurm

English fluency

Communication

Tools

NVIDIA GPUs

InfiniBand RoCE

Kubernetes

Slurm

Job description

About the role

You are the technical partner of our sales team. You work with customers' ML and infrastructure engineers, design the right cluster configuration, run proofs of concept and benchmarks, and hand over a clean design to our platform team.

What you will do

• Run technical discovery on training and inference workloads
• Design GPU cluster, fabric and storage configurations for proposals
• Plan and run proofs of concept and benchmarks with customers
• Answer security, compliance and technical questionnaires
• Feed customer requirements back to the platform and product teams

What you bring

• 6+ years in solutions architecture, HPC or ML infrastructure
• Hands-on knowledge of NVIDIA GPUs, InfiniBand / RoCE and Kubernetes or Slurm
• Ability to explain complex infrastructure clearly to technical and business audiences
• Fluent English

Nice to have

• Experience at a cloud or GPU cloud provider
• Background in distributed training or MLOps

What we offer

• Competitive compensation, discussed at the interview
• A senior role in a fast-growing international AI infrastructure company
• Flexible remote or hybrid work
• Travel to customers, partners and our Tashkent headquarters
• Direct access to leadership

Languages

• English - native or fluent
• Russian - an advantage