Director of Solution Architecture - AI Infrastructure and Cloud

About the Role

IREN is a vertically integrated AI Cloud provider, delivering large-scale data centers and GPU clusters for AI training and inference. Our platform is underpinned by an expansive portfolio of grid-connected land and power in renewable-rich regions across North America, Europe, and APAC. With 100% renewable energy, we build, own, and operate our data centers, taking pride in being at the forefront of sustainable solutions for high-performance compute. As the Director of Solution Architecture, you will serve as the executive technical leader bridging Commercial, Product Management, and Field Operations, ensuring customer success across bare-metal compute, platform orchestration, and FinOps.

Responsibilities

• Team Leadership & Scale: Build, mentor, and scale a world-class team of AI Solution Architects and HPC specialists across key North American hubs.
• Field Execution & Strategy: Establish repeatable architecture frameworks, customer PoC blueprints, and technical discovery loops to accelerate enterprise deal cycles.
• Executive Customer Sponsorship: Act as the primary executive technical advisor for tier-1 enterprise clients, leading architecture design reviews for multi-thousand GPU deployments.
• Commercial & Product Alignment: Partner closely with Commercial leadership on high-stakes proposals, synthesizing field telemetry and customer requirements into direct feedback for Product Management.
• Technical Thought Leadership: Represent IREN at major industry events, author whitepapers, and develop reference designs on high-density GPU deployment, liquid cooling, and green AI infrastructure.

Requirements

• Experience: 15+ years of technical architecture/engineering experience in cloud infrastructure, high-density AI/HPC, or neocloud environments.
• People Leadership: 5+ years of experience leading, hiring, and managing high-performing Solution Architecture or Technical Account Management teams.
• Cloud & AI Breadth: Strong technical fluency across GPU acceleration (NVIDIA DGX/Blackwell), container orchestration (Kubernetes), high-speed interconnects (InfiniBand/RoCE), and cloud cost models.

Qualifications

• Preferred Qualifications:
  • Proven track record of supporting multi-million dollar enterprise AI cloud commitments (e.g., Microsoft, tier-1 AI labs).
  • Deep understanding of distributed LLM training frameworks (Megatron-LM, DeepSpeed, Ray) and inference engines (vLLM, TensorRT-LLM).
  • Master’s degree or equivalent practical experience in Computer Science, Electrical Engineering, or related technical field.

Benefits

• Health & Wellness: Medical, dental, and vision insurance (100% company paid for employees, 75% for dependents), company-paid life and disability insurance, voluntary coverage options, Health Savings Accounts (HSA), and wellness resources.
• Financial Well-Being: 401(k) with company match, financial wellness tools.
• Time Off & Flexibility: Paid Time Off (PTO), paid holidays, flexible work arrangements.
• Growth & Development: Advancement opportunities, training, and personal development.
• Lifestyle & Culture: Company events and team-building activities.

Actual compensation will be determined based on factors such as experience, qualifications, and market data for the region. Total Compensation may include short-term and long-term incentives. Relocation assistance may be provided based on circumstances.