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.
Lead complex customer architecture engagements, shape technical and consumption strategy, and advise executives on data and AI adoption while serving as a technical authority and coaching Solutions Architects.
Shape the architecture of global payment-processing platforms by designing scalable, resilient, secure distributed systems and guiding cross-functional teams through implementation and modernization.
Leads enterprise architecture and application portfolio optimization, documenting application relationships and business alignment, assessing modernization risks, and shaping architecture strategy, roadmaps, and technical standards.
Lead the technical vision and architecture for a strategic global MedTech account, translating enterprise Data + AI priorities into roadmaps and production outcomes while aligning executives, architects, delivery teams, and partners.
Atua como especialista técnico de pré-vendas, traduzindo desafios de negócio em arquiteturas e propostas de soluções complexas de tecnologia, telecomunicações, IoT, cloud, segurança e IA.
