Principal Architect - Artificial Intelligence

G Forty Two General Trading LLC

11h

About The Position

AI is reshaping economies, enabling new scientific frontiers, and redefining what’s possible. G42 is powering this emerging Intelligence Age through a global, scalable, and secure Intelligence Grid. Founded in 2018, G42 is an AI conglomerate of over 10 companies that employs over 23000 employees and operates in over 30 countries.
G42 Americas led by CEO Ali Dalloul, is assembling an exceptional team committed to building the next generation of AI Infrastructure and Agent factory. The G42 Commercial organization, led by Philippe Battel, oversees the GTM strategy, revenue growth, customer success, strategic partnerships, product adoption, and market expansion, and hiring new talents.
Our company portfolio spans AI infrastructure, Agentic AI, cybersecurity, domain/industry‑specific AI applications, and emerging technologies, all anchored in our commitment to responsible, high‑performance AI at national scale.
G42 Americas is a place for builders and the problem solvers who want to build a leading, global AI powerhouse from the ground up. If you’re driven by purpose and inspired to define the future of AI, we invite you to connect with us.
Overview:
You will architect large-scale GPU infrastructure solutions for strategic customers - capacity, networking, storage, and platform integration. You’ll translate workload needs into credible architectures, economics, and deployment plans.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or a related technical field; equivalent experience considered.
• 10–15 years in HPC/GPU infrastructure architecture or cloud infrastructure pre-sales.
• Strong knowledge of networking, storage, and GPU cluster design; ability to present to executives.

Nice To Haves

• Experience with neo-cloud providers, hyperscalers, or AI infrastructure platforms.
• Travel for customer workshops, lab/benchmark sessions, and deployment readiness (typ. 20–35%).
• HPC/AI infra design trade-offs; performance troubleshooting; isolation + security in multi-tenant GPU platforms.
• Strong understanding of how infra choices impact real-world training/inference workloads.
• Benchmark harnesses, profiling tools, capacity/economics models, architecture documentation systems, and operational telemetry platforms.

Responsibilities

• Design AI infrastructure solutions: cluster sizing, network topology, storage, security, and operational model.
• Run workload discovery and translate into capacity/performance requirements and phased deployment plans.
• Partner with benchmarking and infra teams to validate performance claims and cost-per-token economics.
• Lead technical proposals and act as technical owner in strategic infrastructure pursuits.
• Coordinate proof-of-value tests and readiness assessments for new deployments.
• Ability to travel frequently for customer workshops, data center / partner site visits, and exec meetings (typ. 25–40%, variable by deal stage).

Benefits

• Join a forward-looking, inclusive workplace built on high-stakes innovation and global collaboration.
• Access a competitive compensation package including 401(k) retirement savings with employer contributions and premium medical, dental, and vision coverage.
• We prioritize your well-being with short- and long-term disability, life insurance, and paid time off aligned with applicable state laws.
• Tap into a suite of specialized benefits including legal assistance, wellness programs, adoption and fertility support, childcare assistance, and higher education subsidies.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level