AI Data Platform Architect — LLM & Vector Retrieval

3Pillar; United States; Presencial; USD 140.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical Insurance

Dental insurance

Vision insurance

Employer paid Disability, Life, and AD

Unlimited PTO

Paid parental leave

401K

Flexible work policy

12 Paid Holidays

Descripción de la vacante

3Pillar is seeking an AI Data Architect to design, govern, and evolve the enterprise data platform powering AI initiatives. This role will own data contracts, secure access, and ensure reliable AI outputs across diverse applications.

You will architect multi-domain data models, define tools, and drive modernisation of pipelines from lakehouse to APIs, enabling AI workloads and scalable knowledge graphs.

Formación

• 15+ years hands-on data engineering and architecture experience.
• Strong experience with Databricks or Snowflake; experience with both is desirable.
• Design secure, scalable data lakes, data warehouses, data hubs and other event-driven architectures.
• Expertise in designing and writing ETL processes in Python/Java/Scala.
• Own the full data stack: real-time streaming, batch processing, cloud storage and compute.

Responsabilidades

• Design and own the enterprise AI data platform.
• Define multi-domain data models for AI workloads.
• Lead automated data pipelines, ETL, and data quality programs.
• Oversee vector stores and retrieval infrastructure.
• Establish architecture standards and ADRs for engineering teams.

Conocimientos

Python

SQL

Snowflake/Databricks

AWS (S3, Glue, EKS, Bedrock, Kinesis,.

Docker

Kubernetes

Terraform

GitHub Actions

LangChain

LlamaIndex

LLM APIs

Vector stores

Neo4j

Data governance

Knowledge graphs

Databricks

Cloud architecture

Herramientas

MLflow

FastAPI

CI/CD

Observability tooling

Data lineage

Metadata management

Descripción del empleo

3Pillar is seeking an AI Data Architect to design, govern, and evolve the enterprise data platform powering AI initiatives. This role will own data contracts, secure access, and ensure reliable AI outputs across diverse applications.

You will architect multi-domain data models, define tools, and drive modernisation of pipelines from lakehouse to APIs, enabling AI workloads and scalable knowledge graphs.