AI Platform Engineer

United States Digital Space LLC; Buenos Aires; Presencial; ARS 89.322.000 - 148.869.000; Jornada completa

Descripción de la vacante

United States Digital Space LLC is hiring an AI Platform Engineer focused on data infrastructure for mining pipelines. You will own the data layer, including BigQuery datasets, storage, and access policies, while shaping data contracts and governance.

You will collaborate with AI, backend, and analytics teams to translate pipeline needs into scalable, governed infrastructure and automated deployment processes.

Formación

• Experience building scalable data infrastructure for cloud platforms.
• Ability to design data contracts, lineage, and quality checks.
• Hands-on with cloud data warehouses and infrastructure-as-code.

Responsabilidades

• Own data infrastructure components: BigQuery datasets, schemas, storage, IAM.
• Build automated data pipelines and backfill routines to feed mining outputs.
• Collaborate with AI/data science teams to translate needs into infra.
• Maintain data quality checks, freshness, and anomaly detection.
• Improve IaC practices using Terraform and CI/CD workflows.
• Ensure governance, retention, anonymization, and access controls.

Conocimientos

Data engineering

Data platform

Infrastructure as code

Data contracts

Educación

Bachelor's degree in Computer Science (or related)

Herramientas

BigQuery

Terraform

CI/CD tooling

Descripción del empleo

About the company

the company is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage.

Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, the company was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved.

Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust the company. the company is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile.

Being a Dialer

At the company, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your role

As an AI Platform Engineer on AI Mining, you'll own the data infrastructure layer that makes skill mining possible. That means BigQuery datasets and schemas, cloud storage, service accounts and IAM, Vertex AI pipeline infrastructure, Dataform integration, and the event streaming resources that connect mining outputs to the rest of the platform. It also means building the automated pipelines that move data into place — scheduled jobs, data copy pipelines, backfill orchestration — so the right data is where it needs to be when the mining team needs it.

You’ll work at the intersection of data engineering and infrastructure — your work is what AI engineers, data scientists, and product engineers stand on when they ship.

What you'll do

• Get oriented on the data infrastructure landscape: BigQuery datasets and schemas, cloud storage, IAM surface, Vertex AI pipeline setup, Dataform integration, and event streaming topics.

• Be paired with a peer and your manager — you'll have context and support before you're expected to own anything independently.

• You'll be exposed to the open source technologies we depend on. We employ many open source tools to get the job done, and we love to contribute back to those communities.

• Ship your first infrastructure changes: a new dataset, a storage resource, an IAM policy, or a schema update that unblocks the mining team.

• Own core data infrastructure: BigQuery datasets, preprocessing storage buckets, service accounts, and access policies across environments.

• Partner with AI and data science engineers to translate new pipeline and data needs into provisioned, governed infrastructure.

• Contribute to data quality checks, freshness monitoring, and anomaly detection for mining inputs and outputs.

• Strengthen the team's infrastructure-as-code practices (Terraform, CI/CD).

• Drive expansion of the data platform as the team grows into new channels, customer segments, and verticals.

• Own the data governance posture: retention, anonymization, opt-out handling, and access separation for privacy-sensitive content.

• Be a trusted partner for AI, backend, product, and analytics teams — they rely on you for reliable data contracts and predictable infrastructure.

Skills you'll bring

• You have strong experience in data engineering, data platform, or infrastructure work with a data focus.

• You're deeply comfortable with BigQuery or a comparable cloud data warehouse — schema design, dataset management, and access governance feel natural.

• You have hands-on experience with infrastructure-as-code; you've provisioned cloud resources and know what good looks like.

• You think in data contracts — freshness, lineage, quality, and downstream dependencies.

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