AI Infrastructure Solutions Architect

Key Responsibilities

• AI Infrastructure Presales
• Partner with Sales to qualify AI infrastructure opportunities.
• Engage with customers to understand AI workloads, performance expectations, scalability requirements, and operational objectives.
• Conduct technical discovery workshops and architecture discussions.
• Prepare technical proposals, presentations, and solution demonstrations.
• Support RFI, RFP, and RFQ responses.
• Serve as the trusted technical advisor throughout the sales lifecycle.
• AI Infrastructure Solution Architecture
• Design complete AI infrastructure solutions including:
• GPU compute clusters
• AI Factory infrastructure
• HPC platforms
• High-performance storage
• AI networking fabrics (Ethernet, InfiniBand, RoCE)
• Kubernetes and container platforms
• AI software stack integration
• Cluster management
• Security architecture
• Monitoring and observability
• Automation platforms
• Scalability and expansion planning
• Develop:
• Solution architecture
• Infrastructure sizing
• Bill of Materials (BoM)
• Reference architectures
• Technical specifications
• Solution documentation
• Deployment architecture
• Infrastructure Integration with Data Center Design
• Work closely with Facilities Presales, Design, and Engineering teams to ensure the AI infrastructure solution is fully compatible with the proposed data center environment.
• Provide technical inputs related to:
• Rack power density
• Rack layouts
• GPU server deployment
• Network topology
• Cable density
• Space requirements
• Liquid cooling interfaces
• CDU connectivity requirements
• Infrastructure dependencies
• Expansion strategy
• Validate that the AI infrastructure can be successfully deployed within the facility constraints without owning the facility design itself.
• Solution Validation & Delivery Readiness
• Collaborate with Delivery and Engineering teams to ensure solution feasibility.
• Support:
• Technical design reviews
• OEM interoperability validation
• Deployment planning
• Installation readiness
• Factory acceptance planning
• Site acceptance planning
• Commissioning support
• Technical handover to delivery teams
• Maintain ownership of the AI infrastructure solution throughout the project lifecycle.
• Operational Architecture
• Ensure the proposed solution is designed for long-term operational success by considering:
• Serviceability
• Scalability
• High availability
• Redundancy
• Monitoring
• Capacity management
• Firmware lifecycle
• Upgrade strategy
• Infrastructure observability
• Operational support requirements
• Cross-Functional Collaboration
• Work closely with:
• Sales
• Product Management
• Delivery
• Professional Services
• Facilities Presales
• Facilities Design & Engineering
• OEM partners
• System Integrators
• Customer Infrastructure teams
• AI Engineering teams
• Act as the primary technical interface for all AI infrastructure-related discussions.

AI Compute

Networking

Storage

Software

Infrastructure

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Electronics, Electrical Engineering, or a related discipline.
• Master's degree is preferred.
• 8–15 years of experience in enterprise infrastructure, HPC, AI infrastructure, or solution architecture.
• At least 5 years in a customer-facing Presales or Solutions Architecture role.
• Experience designing GPU-based AI infrastructure and high-density compute environments is highly desirable.

Preferred Certifications

Technical

Business

Collaboration

What we offer

• Attractive compensation package reflecting your expertise and experience.
• A great work environment characterized by friendliness, international diversity, flexibility, and a hybrid-friendly approach.
• You´ll be part of a fast-growing scale-up with a mission to make a positive impact, offering an exciting career evolution.
• Our job titles may span more than one job level. The actual base pay is dependent on a number of factors, such as transferable skills, work experience, business needs and market demands.

Our inclusive responsibility

• Submer is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law.