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**We do Consulting Differently**:
**About The Role**

BRG’s AI Department is seeking an **AI Infrastructure Engineer (Mid‑Level)**to support the next phase of our _Virtual AI Lab _initiative. After completing Phase 01—the build-out of our physical AI Lab—this role will help design, implement, and scale the virtual access layer that enables teams across BRG to remotely use our high‑performance AI infrastructure. You will work on systems capable of processing **100,000+ documents per day**using advanced LLMs from OpenAI and Anthropic.

This role is adecuado for an engineer with solid cloud, infrastructure, and AI/ML engineering experience who is ready to take ownership of meaningful components, contribute to architectural decisions, and help build a cutting‑edge capability from the ground up.

We are expanding our team in Argentina, offering a rare opportunity to shape a new engineering function within a global AI organization.

**Key Responsibilities**
- Contribute to the design and implementation of the Virtual AI Lab access layer
- Build scalable remote compute capabilities supporting **100,000+ documents/day**:

- Develop customizable and expandable virtual interfaces for BRG business units
- Implement and maintain secure authentication and access‑management systems
- Optimize infrastructure for high LLM token throughput (OpenAI / Anthropic)
- Support high‑availability architectures and fault‑tolerant systems
- Participate in performance tuning, load testing, and resource optimization
- Collaborate on infrastructure projects from design to production deployment
- Build and maintain cloud/hybrid environments using IaC tools
- Support API integrations, distributed systems components, and workflow automation
- Contribute to monitoring, metrics, and reliability engineering practices

**Required Qualifications**





**Minimum Requirements**
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field
- **3-6 years**of hands-on experience designing, deploying, or supporting cloud infrastructure
- Experience with **Infrastructure as Code**(Terraform, CDK, CloudFormation)
- Familiarity with **evaluation frameworks**: prompt testing, offline/online evaluation, monitoring, error analysis
- Experience with **data/workflow engineering**, including pipelines, transformations, and metadata
- Applied ML or NLP exposure (classical ML, anomaly detection, entity resolution, forecasting)
- Understanding of **security and governance principles**: privacy-by-design, access controls, safe data handling
- Experience maintaining scalable, secure, cost‑efficient **cloud or hybrid**environments
- Proficiency in version control (Git/GitHub), Python, and modern development practices (SDLC, CI/CD)
- Experience building or integrating **APIs**for distributed systems
- Familiarity with **GPU infrastructure**or compute optimization for AI workloads
- Hands-on experience with AWS services such as:

- EC2 / Lambda
- S3
- SageMaker
- Fargate / ECS / EKS
- Terraform / CDK
- Cost monitoring tools (Cost Explorer/Budgets)

**Preferred Qualifications**
- Experience deploying or optimizing LLMs (OpenAI, Anthropic, etc.)
- Background supporting or building AI/ML platforms or pipelines




- Experience with **VDI**or remote-access technologies
- Familiarity with distributed computing frameworks or job‑scheduling systems
- AWS certifications (Solutions Architect, SysOps, Developer, ML Specialty)
- Experience with cloud cost‑efficiency strategies
- Exposure to one or more of the following domains:

- **Healthcare**(provider systems, workflows, RCM)
- **Litigation / eDiscovery / Investigations**:

- **Corporate Finance / Restructuring / Disputes**:

- **IP / Tech / ISP**(data-intensive technical work)

**Why Join Us**
- Work on a groundbreaking Virtual AI Lab powering mission‑critical workloads
- Influence foundational infrastructure decisions and engineering standards
- Collaborate with senior engineers working on cutting‑edge AI systems
- Career growth opportunities as the Argentina team continues to scale
- High-impact, real-world problem-solving in a fast-evolving AI landscape

**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.

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 mil

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