Principal Architect - AI & Datacenter

About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services.

Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy:

• Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.

• Continuous professional growth and leadership opportunities.

• Health, wellness, and financial benefits to offer peace of mind to you and your family.

• World-class facilities and the technology you need to thrive – in our offices or yours.

The Principal Architect - AI & Datacenter serves as the organization’s senior-most technical advisor in AI-driven architectures and enterprise-scale compute, storage solutions. The Principal Architect combines deep technical mastery in artificial intelligence, high-performance datacenter design, and hybrid cloud integration with advanced business intelligence. The Principal Architect shapes strategic solution direction, leads major AI infrastructure pursuits, and guides field teams across regions to deliver transformational outcomes for customers adopting next-generation compute ecosystems.

• Lead Complex AI Infrastructure Pursuits:
  Serve as the chief architect and trusted technical strategist for multimillion-dollar AI and datacenter modernization opportunities, ensuring performance, scalability, and security alignment with enterprise goals.

• Architect Advanced Compute Environments:
  Optimize end-to-end infrastructure—GPU clusters, fabric interconnects, and AI-optimized storage—for large model training and inference workloads across on-prem, edge, and cloud platforms.

• Drive Strategic Customer Engagement:
  Co-develop digital transformation roadmaps with executive clients, emphasizing AI-ready datacenter evolution, sustainable energy efficiency, and workload orchestration.

• Integrate Hybrid Cloud and AI Platforms:
  Design architectures leveraging NVIDIA DGX, HPE Green Lake, Dell APEX, or Red Hat Open Shift AI ecosystems to ensure seamless data mobility, workload elasticity, and cost-effective scaling.

• Lead Proof-of-Concept and Benchmarking:
  Direct technical validation for AI workloads, including multi-tenant GPU performance testing, model training simulations, and inferencing benchmark optimization.

• Influence Product and R&D Direction:
  Collaborate with infrastructure engineering, software development, and AI solution groups and OEM Partners to align field innovations with datacenter roadmap investments.

• Mentor Next-Generation Architects:
  Build AI competency frameworks, train presales engineers in AI workload modeling, and elevate organizational acumen for data-driven presales execution.

• Provide Thought Leadership:
  Attend SHI and Partner events as well as webinars providing relevant content in speaking roles. Attend partner meetings in an advisory capacity. Publish articles and blogs on SHI capabilities, industry innovations and trends.

• Willingness to Learn:
  Can apply new learning to daily work, encourage and facilitate learning in others, and actively make changes to work based on feedback.

• Self-Development:
  Can demonstrate a commitment to continuous learning and adaptability to new ideas and methods.

• Leadership:
  Can take ownership of complex team initiatives, collaborate with others in decision-making processes, and drive team performance.

• Strategic Thinking:
  Can analyze complex situations, anticipate future trends, and align and integrate strategies across departments or functions.

• Problem-Solving:
  Can proactively identify and take ownership of complex problem-solving initiatives, initiate preventative measures, collaborate with others to find solutions, and drive successful outcomes.

• Analytical Thinking:
  Can use advanced analytical techniques to solve complex problems, draw insights, and communicate the solutions effectively.

• Prioritization:
  Can take ownership of complex task management, collaborate with others to align…