Solution Architect designing modern productivity platforms and uplifting endpoint environments for Medibank. Leading solution plans aligning with the goal of improved health outcomes.
About the role
- Solutions Architect designing and delivering infrastructure solutions for traditional and modular data centers supporting AI platforms at SHI. Focusing on high-performance, energy-efficient, and scalable environments with a strong customer engagement emphasis.
Responsibilities
- Act as a technical pre- sales expert for AI data center infrastructure, conducting site assessments, presenting solutions, and advising clients; may provide post-sales support
- Design and architect AI-optimized infrastructure for both physical and modular data centers, covering power, cooling, and redundancy
- Visit customer sites to assess and validate infrastructure requirements
- Coordinate with SHI Field Teams to align solutions, support implementation, and ensure project success
- Lead technical discussions with market-leading and emerging vendors (e.g., NVIDIA, Vertiv), influencing selection and product direction as needed
- Assess technologies and recommend strategic vendors for power and cooling components
- Serve as SME in power and cooling, guiding selection and optimization for AI environments
- Contribute as an AI SME across the SHI AGT team and within the SHI Power and Cooling COE by sharing best practices and supporting initiatives
- Recommend power alternatives, including renewables, energy storage, and efficient distribution to reduce costs and emissions
- Oversee the validation and integration of liquid cooling solutions for dense AI clusters in various data center types
- Evaluate existing and planned data centers for AI readiness and recommend infrastructure upgrades
- Collaborate across stakeholders to develop proofs-of-concept, RFx’s, and deployment plans for AI projects
- Monitor industry trends in sustainable power, cooling innovations, and modular advances
- Present and Train internal teams and customers on power and cooling best practices in AI data centers
- Analyze metrics and use CFD tools to optimize cooling performance in diverse data center formats
Requirements
- Completed Bachelor’s Degree or relevant work experience
- 5–7+ years in data center design, operations, or architecture emphasizing power and cooling
- Expertise with data center power/cooling technologies (UPS, PDUs, generators, liquid cooling, microgrids, green energy)
- Deep understanding of liquid cooling for HPC and AI platforms (cold plate, immersion, two-phase)
- Practical experience with enterprise data centers, NVIDIA DGX/GPU clusters or similar HPC platforms; knowledge of related power and thermal needs
- Strong customer engagement skills—creating collateral, presenting solutions, leading workshops, and building client trust
- Track record working with vendors: technical evaluation and supplier selection in infrastructure projects
- Willingness to travel up to 40% for site planning and customer engagements
- Experience linking pre-sales solutions to field implementation with delivery teams
- Solid grasp of data center standards (Uptime Institute tiers, TIA-942) and efficiency metrics (PUE, WUE)
- Superior problem-solving and the ability to explain complex technical ideas clearly to varied audiences
- Willingness to travel occasionally
Benefits
- Health, wellness, and financial benefits to offer peace of mind to you and your family
- Continuous professional growth and leadership opportunities
- World-class facilities and the technology you need to thrive – in our offices or yours
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