Solutions Architect

Career Techniques; Dallas (TX); Hybrid; USD 110,000 - 145,000; Full time

Job summary

Career Techniques is seeking a Solutions Architect to serve as a trusted technical advisor for strategic HPC and cloud customers. You will help design, deploy, and scale compute-intensive workloads, from AI training to scientific simulations.

The ideal candidate has 5–10+ years of experience in roles focused on cloud and HPC environments, proficiency in tools like Terraform and Kubernetes, and a strong customer-first mindset to build trust with clients.

Qualifications

• 5–10+ years in roles with hands-on experience in cloud and HPC environments.
• Proficiency with Infrastructure as Code tools like Terraform and Ansible.
• Solid understanding of GPU and HPC computing.

Responsibilities

• Serve as the primary technical contact for strategic customers.
• Guide customers to optimize compute performance for AI and ML workloads.
• Partner with sales to identify growth opportunities.

Skills

Cloud Solutions Architecture

HPC Computing

Terraform

Kubernetes

Python Programming

Customer Relationship Management

Tools

Ansible

CUDA

OpenCL

MPI

Job description

The Solutions Architect will serve strategic HPC and cloud customers. You will be a trusted technical advisor, helping clients design, deploy, and scale compute-intensive workloads — from large-scale AI/ML training and inference to advanced scientific simulations and data-driven research.

Responsibilities

Customer Advisory

• Serve as the primary technical point of contact for key and strategic customers, troubleshooting complex HPC, cloud, and AI/ML challenges.
• Guide customers in optimizing compute performance for ML training, inference, and simulation workloads, ensuring seamless integration and scalability on the platform.

Sales & Growth

• Partner with the sales team to identify growth opportunities, promote new platform capabilities, and deliver compelling technical presentations and demos.

Product Collaboration

• Act as a bridge between customers and the product team — relaying feedback, surfacing feature requests, and ensuring the roadmap reflects real customer needs.

Stakeholder Engagement

• Engage with internal and external stakeholders to negotiate solutions, drive alignment, and remove blockers for strategic accounts.

Documentation

• Contribute to the development of technical documentation, reference architectures, and best practice guides for the ecosystem.

Requirements

Essential

• 5–10+ years in roles such as Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud and HPC environments.
• Proficiency with Infrastructure as Code tools such as Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU and HPC computing, including ML training, inference workloads, and relevant stacks (e.g. CUDA, OpenCL, MPI).
• A customer-first mindset with a proven ability to build trust and foster long-term technical relationships.
• The ability to explain complex technical concepts clearly to both technical and non-technical audiences.

Bonus Points for

• Hands-on experience with HPC and ML orchestration frameworks (e.g. Slurm, Kubeflow, MPI).
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Familiarity with tools and services from major cloud providers (AWS, Azure, GCP) and hardware vendors like NVIDIA.
• Strong project management skills with the ability to prioritize and deliver across multiple accounts.
• Experience mentoring technical teams and contributing to team growth.
• A track record of stakeholder negotiation and cross-functional collaboration.