Solutions Architect

Addison Group; Dallas (TX); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Medical benefits 100% coverage

Dental coverage

Vision coverage

401(k)

25 days PTO

HSA contribution

Gym membership

Job summary

Addison Group in Dallas, TX seeks a Solutions Architect to guide strategic customers through HPC, cloud, and AI workloads. You will blend hands-on platform knowledge with relationship skills, helping design scalable architectures while partnering with sales, engineering, and product teams.

Requires 5+ years in relevant roles with cloud/HPC, Kubernetes, Python, and IaC tools; CUDA/OpenCL; Kubeflow/PyTorch/TensorFlow.

Qualifications

• Five or more years in solutions architecture, technical account management, customer engineering, or a similar role, with hands-on cloud and HPC experience.
• Experience building customer relationships and explaining complex systems to varied audiences.
• Working knowledge of GPU computing and AI or scientific computing workloads.
• Experience with Kubernetes, Python, and infrastructure-as-code tools such as Terraform or Ansible.
• Familiarity with technologies such as CUDA, OpenCL, MPI, or HPC workload schedulers.
• Experience with Slurm, Kubeflow, PyTorch, TensorFlow, major cloud platforms, or NVIDIA technologies is a plus.

Responsibilities

• Advise customers on the architecture, deployment, and growth of compute-intensive workloads.
• Help resolve technical issues and improve performance for AI training, inference, and scientific simulations.
• Partner with sales on technical presentations, demonstrations, and opportunities within existing accounts.
• Bring customer needs and feedback to internal product and engineering teams.
• Coordinate stakeholders to resolve obstacles and keep customer initiatives moving.
• Develop reference designs, technical documentation, and practical guidance for customers.

Skills

Cloud computing

HPC experience

Kubernetes

Python

Terraform

Ansible

GPU computing

AI workloads

Communication

Tools

Kubeflow

PyTorch

TensorFlow

CUDA

OpenCL

MPI

Slurm

Terraform

Ansible

Kubernetes

Job description

Job Title: Solutions Architect, HPC and Cloud

Industry: High Performance Computing / Cloud Infrastructure

Location (city, state): Dallas, TX - onsite three days a week, determined by manager

Assignment Type: Direct hire

Pay: $180,000–$260,000 base salary, plus a potential $50,000–$100,000 bonus

Benefits: This position is eligible for 100% paid medical, dental, vision, and 401(k). Additional benefits include 25 days of PTO, an HSA contribution, and a gym membership.

About The Company

Our client provides computing infrastructure for organizations running complex AI, research, and simulation workloads. Its growing team helps customers put advanced cloud and HPC resources to work at scale.

Job Description

We are seeking a Solutions Architect to guide strategic customers through technical challenges involving HPC, cloud, and AI workloads. You will combine hands-on platform knowledge with strong relationship skills, helping customers design effective solutions while working closely with sales, engineering, and product teams.

Key Responsibilities

• Advise customers on the architecture, deployment, and growth of compute-intensive workloads.
• Help resolve technical issues and improve performance for AI training, inference, and scientific simulations.
• Partner with sales on technical presentations, demonstrations, and opportunities within existing accounts.
• Bring customer needs and feedback to internal product and engineering teams.
• Coordinate stakeholders to resolve obstacles and keep customer initiatives moving.
• Develop reference designs, technical documentation, and practical guidance for customers.

Qualifications

• Five or more years in solutions architecture, technical account management, customer engineering, or a similar role, with hands-on cloud and HPC experience.
• Experience building customer relationships and explaining complex systems to varied audiences.
• Working knowledge of GPU computing and AI or scientific computing workloads.
• Experience with Kubernetes, Python, and infrastructure-as-code tools such as Terraform or Ansible.
• Familiarity with technologies such as CUDA, OpenCL, MPI, or HPC workload schedulers.
• Experience with Slurm, Kubeflow, PyTorch, TensorFlow, major cloud platforms, or NVIDIA technologies is a plus.

Additional Details

TN visa candidates may be considered. The interview process is expected to include an HR screen, a hiring manager conversation, a technical discussion, and an onsite meeting.