Solutions Architect, AI Factory Infrastructure

Accountabilities:

• Guide customers through their AI factory journey, designing and optimizing end-to-end workflow pipelines and infrastructure performance

• Architect and support data center implementations for AI inference workloads, including distributed and large-scale system designs

• Define solutions for physical AI and simulation pipelines, including synthetic data generation, orchestration, and application development workflows

• Lead technical engagement for hybrid AI deployments across on-prem and cloud environments

• Design and deliver scalable hybrid cloud architectures covering data pipelines, storage, security, and connectivity

• Provide deep expertise in infrastructure design, workload optimization, and system-level performance tuning

• Evaluate architectural trade-offs and recommend optimal technical solutions tailored to enterprise requirements

• Collaborate directly with customers and internal engineering teams to gather feedback and influence product direction

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

• 3+ years of experience in IT infrastructure, systems engineering, or related technical fields

• Strong understanding of AI-focused infrastructure and enthusiasm for high-performance computing systems

• Solid knowledge of Linux systems administration and environment management

• Experience with Kubernetes, Ethernet networking, and cloud-native infrastructure tooling

• Proficiency in Python for automation, scripting, or system integration tasks

• Understanding of hardware/software co-design and how system components interact to optimize workloads

• Ability to work independently in a distributed or remote team environment with minimal supervision

• Strong communication, collaboration, and stakeholder management skills

• Bonus: experience with Terraform, Helm, cloud-scale deployments, and hybrid infrastructure architectures

• Bonus: background in containerized large-scale workloads and problem-solving in complex distributed systems

Benefits

• Competitive base salary with range depending on experience and level

• Equity participation as part of total compensation package

• Comprehensive health, dental, and vision insurance

• Opportunities to work on cutting-edge AI infrastructure and large-scale enterprise deployments

• Flexible hybrid/remote work structure depending on role requirements

• Exposure to world-leading AI, accelerated computing, and infrastructure innovation teams

• Career growth in a highly technical, forward-thinking engineering environment

• Inclusive workplace culture supporting diversity and equal opportunity.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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