Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q1r7c

**We do Consulting Differently**:
**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 workloadsLead infrastructure projects from conception to production deployment
- **Required**

**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
- 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 g

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q1r7c

📌 Ai Lab Senior Engineer (Buenos Aires)
🏢 Berkeley Research Group
📍 Buenos Aires