AI Lab Senior Engineer

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BRG’s Ai Department is seeking an AI Infrastructure Senior Engineer to lead the development of our Virtual Ai Lab initiative. Following the successful completion of Phase 01 (physical Ai Lab build-out), this role will focus on creating a virtual access layer that makes our high-performance Ai Lab remotely accessible to teams across BRG. The ideal candidate will design and implement scalable infrastructure to support processing 100,000+ documents daily using state-of-the-art LLMs from OpenAI and Anthropic.

About The Role

As an AI Infrastructure Senior Engineer, you will design and build the virtual access interface for our physical AI Lab, enabling secure, scalable, and high‑performance remote processing for teams across BRG. You’ll take the lead in architecting the infrastructure that allows users to seamlessly leverage the Lab’s computational power from anywhere, supporting large‑scale document processing and advanced LLM workloads. 

In this role, you will develop customizable virtual interfaces tailored to the needs of different BRG groups, implement robust access‑control frameworks, and ensure intelligent resource allocation for concurrent users running massive datasets. Your work will directly shape how teams interact with our AI Lab and will be critical to delivering consistent, reliable, and optimized performance.

We are building our team in Argentina, and this is an exciting opportunity to help scale a cutting‑edge capability from the ground up. You’ll play a foundational role in defining our technical direction and setting the standard for high‑impact engineering across the region.

Key Responsibilities

Design and implement a virtual access layer for the physical Ai Lab infrastructure

• Build scalable remote processing capabilities supporting 100,000+ documents per day
• Create customizable, expandable interfaces for different BRG business units
• Optimize infrastructure for maximum LLM token throughput (OpenAI/Anthropic)
• Implement secure authentication and access management systems
• Ensure high availability and fault tolerance for mission-critical AI workloads
• Lead infrastructure projects from conception to production deployment
  
   

Required

Ideal candidates have a strong track record of delivering production‑grade systems, owning reliability end‑to‑end, and collaborating with domain experts in high‑stakes, regulated, or adversarial environments. Experience building real AI/software solutions—beyond prototypes—is highly valued.

Minimum Qualifications

• 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
• Strong expertise with Infrastructure as Code (IaC) tools and methodologies
• Experience with LLM applications, including extraction, synthesis, summarization, classification, RAG, tool use, and agentic workflows (with appropriate guardrails)
• Proficiency in evaluation and quality frameworks, such as rubric‑driven testing, offline/online evaluation, prompt/version management, monitoring, and error analysis
• Strong background in data and workflow engineering: pipelines, normalization, metadata design, knowledge systems, and automation of recurring deliverables
• Applied ML experience (as relevant), including classical ML, forecasting, NLP, entity resolution, anomaly detection—especially with messy enterprise data
• Deep understanding of security and governance, including privacy-by-design, access controls, safe handling of client data, and auditability
• Experience designing, implementing, and maintaining scalable, secure, and cost‑efficient cloud or hybrid (cloud/on‑prem) solutions
• Proven ability to lead and deliver high-quality, replicable engineering projects
• Proficiency with version control (Git/GitHub), modern programming languages (Python, .NET, Java, etc.), SDLC best practices, and CI/CD pipelines
• Experience with API design and implementation for distributed systems
• Knowledge of GPU infrastructure and performance optimization for AI workloads
• Hands-on experience with key AWS services, including:
  • EC2 / Lambda (compute)
  • SageMaker (ML)
  • S3 (storage)
  • Fargate / ECS / EKS (container orchestration)
  • CDK / Terraform (IaC)
  • Cost Explorer / Budgets (cost monitoring)

Preferred Qualifications

• Experience deploying and optimizing LLMs (OpenAI, Anthropic, etc.)
• Background in building AI/ML platforms or infrastructure
• Experience with virtual desktop infrastructure (VDI) or remote-access environments
• Knowledge of distributed computing and job‑scheduling systems
• AWS certifications (Solutions Architect, Machine Learning, or similar)
• Experience with cloud cost‑management and optimization strategies
• Familiarity with security best practices for AI systems and sensitive data
• Industry experience in one or more of the following domains:
  • Healthcare (provider systems, payer operations, clinical workflows, RCM, quality & safety)
  • Litigation / eDiscovery / Investigations (structured/unstructured data, document review, defensible analytics)
  • Corporate Finance / Restructuring / Disputes (large‑scale financial modeling, workflow automation, reporting)
  • IP / Tech / ISP (technology disputes, data‑intensive expert work, software and technical diligence)

About BRG
 
BRG combines world-leading academic credentials with world-tested business expertise purpose-built for agility and connectivity, which sets us apart—and gets you ahead.

At BRG, our top-tier professionals include specialist consultants, industry experts, renowned academics, and leading-edge data scientists. Together, they bring a diversity of proven real-world experience to economics, disputes, and investigations; corporate finance; and performance improvement services that address the most complex challenges for organizations across the globe.

Our unique structure nurtures the interdisciplinary relationships that give us the edge, laying the groundwork for more informed insights and more original, incisive thinking from diverse perspectives that, when paired with our global reach and resources, make us uniquely capable to address our clients’ challenges. We get results because we know how to apply our thinking to your world.

At BRG, we don’t just show you what’s possible. We’re built to help you make it happen.  

BRG is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran status, ancestry, sexual orientation, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law.