AI Lab Infrastructure Engineer (AI)

TL;DR

AI Lab Infrastructure Engineer (AI/AWS): Designing and implementing a virtual access layer for a physical AI Lab to enable remote high-performance computing across the organization with an accent on scalable cloud infrastructure and LLM throughput optimization. Focus on architecting secure remote processing capabilities for massive document datasets and optimizing GPU resource allocation.

Location: Remote - USA

Company

A global consulting firm combining world-leading academic credentials with business expertise to solve complex challenges in economics, disputes, investigations, and corporate finance.

What you will do

• Design and implement a virtual access layer for the physical AI Lab infrastructure.
• Build scalable remote processing capabilities supporting the processing of 100,000+ documents per day.
• Create customizable and expandable interfaces for different business units within the company.
• Optimize infrastructure for maximum LLM token throughput using OpenAI and Anthropic models.
• Implement secure authentication and access management systems for mission-critical AI workloads.
• Lead infrastructure projects from initial conception through to production deployment.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 6-8 years of hands-on experience designing, deploying, and managing scalable cloud infrastructure.
• Proficiency in Infrastructure as Code (IaC) tools and methodologies (e.g., Terraform, AWS CDK).
• Strong experience with AWS services including EC2, Lambda, SageMaker, S3, Fargate, ECS, and EKS.
• Knowledge of GPU infrastructure and optimization specifically for AI workloads.
• Must be based in the USA.

Nice to have

• Experience with LLM deployment and optimization.
• Background in building AI/ML platforms and infrastructure.
• Experience with virtual desktop infrastructure (VDI) or remote access solutions.
• AWS certifications such as Solutions Architect or Machine Learning.
• Knowledge of distributed computing and job scheduling systems.

Culture & Benefits

• Lead a high-visibility initiative (Virtual AI Lab) within the AI Department.
• Work in an interdisciplinary environment alongside renowned academics and leading-edge data scientists.
• Opportunity to work with state-of-the-art LLMs from OpenAI and Anthropic.
• Inclusive work culture as an Equal Opportunity Employer.