Senior Solutions Architect

At Firmus, we are unique in our approach. We design, build, and operate a new class of digital infrastructure – the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. Th...

Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale. It empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services a...

At Firmus, you’ll work at the intersection of sustainability and artificial intelligence in a fast-paced environment powered by next-generation technology. You’ll be helping to transform an entire industry — and you’ll feel it every day.

Solution Design
Architect scalable and high-performance AI infrastructure solutions tailored to customer needs.
Work with the internal Firmus Engineering and Technology teams to develop detailed technical specifications and implementation plans for AI clusters.
Optimise designs for performance, reliability, and cost-effectiveness.
Collaborate closely with our global sales teams, providing deep technical expertise during the sales cycle to address customer requirements and challenges.
Identify relevant technology capability gaps in the platform which impact service delivery

Customer Engagement
Collaborate closely with customers to understand their AI requirements and objectives.  
Support the Firmus Sales Function to ensure successful closure of RFPs, Proposals and service contracts.
Develop effective SLAs in collaboration with Sales and Operations, Engineering teams to ensure successful service delivery
Provide expert guidance on AI infrastructure best practices and emerging technologies.
Present complex technical concepts to both technical and non-technical stakeholders.
Lead AI infrastructure projects from conceptualisation to implementation.
Assist with the successful deployment and integration of AI solutions, guiding customers through the implementation process and optimising their AI infrastructure for peak performance. conception
Coordinate with cross-functional teams to ensure seamless integration of AI solutions.
Experienced in working with and presenting to C-level stakeholders. 

Understanding Training and Inference requirements of customers and their used cases.
Provide technical mentorship to junior team members.
Maintain in-depth knowledge of advanced networking technologies, including NVIDIA InfiniBand, Spectrum Ethernet Platform, and RDMA over Converged Ethernet (RoCE).
Working knowledge of AI accelerator hardware, software, and infrastructure components (NVIDIA CPU-GPU architectures, AMD Instinct-based accelerators, Intel Gaudi amongst others).
Understand and leverage AI-specific technologies such as NVIDIA ConnectX NICs and BlueField DPUs.
Stay at the forefront of AI technology trends, advocating for our AI solutions and educating customers and partners on its benefits and applications.

 
Bachelor’s Degree in Computer Science, Engineering, or a related field.
8+ years of working experience in IT infrastructure, with at least 3+ years focused on AI or high-performance computing systems.
Extensive experience in designing and implementing AI infrastructure solutions.
Deep understanding of high-performance computing and AI workloads.
Proficiency in architecting solutions using NVIDIA InfiniBand, Spectrum Ethernet Platform, and related technologies.
Proficiency in programming languages relevant to AL and ML, such as Python, C++, and familiarity with AI frameworks like TensorFlow, PyTorch.
Solid experience with cloud architectures and services, particularly in GPU-accelerated computing environments.
Strong problem-solving skills and ability to troubleshoot complex infrastructure issues.
Demonstrated ability to design scalable and sustainable AI solutions, with a track record of successful customer engagements, project deliveries and implementations.