Solutions Architect - Contractor at Mindbeam (Melbourne, Australia)
Mindbeam· Melbourne, Australia·
Role details
Summary
Design and deliver AI infrastructure solutions for enterprise clients, optimizing generative AI workloads. Architect end-to-end systems, manage integrations, and guide technical deployments while collaborating with internal teams.
Job description
About Mindbeam
We are building the next-generation AI infrastructure for open source and enterprise. Our work is deeply research-oriented and focused on developing groundbreaking innovations to take state-of-the-art AI applications to the next level.
Mission Design and deliver AI solutions that enable enterprises to deploy, scale, and optimize generative AI workloads with speed, efficiency, and reliability.
Melbourne, Victoria, Australia
Role Expectations
- Architect and optimize end-to-end AI infrastructure solutions using Mindbeam’s frameworks.
- Develop integrations with channel partner technologies.
- Guide clients through technical evaluations, deployments, and optimizations.
- Collaborate with internal teams to align architecture with customer needs.
- Present solutions clearly in client-facing engagements.
Background
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field—or equivalent work experience.
- 2+ years of experience in AI/ML architecture, implementation, or technical consulting.
- Strong knowledge of ML frameworks (PyTorch, TensorFlow, JAX) and distributed computing.
- Hands-on expertise with Kubernetes (EKS/EC2), Docker, and cloud platforms (AWS, NVIDIA).
- Familiarity with DevOps practices, security, and compliance in enterprise settings.
- Excellent problem-solving skills in production environments.
About You
You combine technical depth with strong communication skills, making you a trusted partner to both engineers and executives. You approach challenges with curiosity, creativity, and a willingness to experiment boldly.
Why work at Mindbeam
- Culture: Small, early-stage team (~8 employees) with a high density of talent from top organizations (Amazon Web Services, JPMorgan Chase, Cleveland Clinic, UC Berkeley, etc.). Emphasis on breakthrough performance and energy efficiency.
- Remote/Hybrid/Office: Not explicitly stated. Headquarters in New York City; likely hybrid given NYC base.
- Notable Perks: Opportunity to work on cutting-edge AI infrastructure with significant impact on cost and energy. Founding team access. Open source contributions.
- Engineering Culture: Research-heavy (two research scientists on staff), open-source friendly (GitHub), and hands-on with GPU and system optimization.