Remote Agentic AI Solutions Architect for Automation

Bluelightconsulting; Concepcion; A distancia; CLP 111.940.298 - 167.910.447; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Bonuses

Flexible working hours

Remote work

Continuing education

Certifications

Descripción de la vacante

Bluelight Consulting seeks an experienced Agentic AI Solutions Architect to own the technical vision for LLMs and agentic workflows across client projects. You will balance client advisory duties with hands‑on design and delivery of end‑to‑end data architectures that deliver measurable ROI.

In this role you will design data and AI architectures, implement integrations, and guide teams through MLOps and automation pipelines while documenting best practices for reusable deployment.

Formación

• 5+ years in software, data integration, or analytics

Responsabilidades

• Lead client discovery sessions to identify AI, LLM, and agentic opportunities
• Design end‑to‑end agentic data and workflow architectures
• Implement integrations and automation using tools like n8n, Make, Flowise, AWS Step Functions, and orchestration platforms (Airflow, Prefect, Temporal)
• Collaborate with data engineering on MLOps and automation pipelines
• Document solutions and patterns for reusable deployment
• Test and validate AI/automation outputs

Conocimientos

Data warehousing

ETL & data integration

SQL

Python scripting

AI/ML / LLM

Client delivery / consulting

English communication

Cloud platforms (AWS/GCP/Azure)

Prompt engineering / Generative AI

Herramientas

Snowflake

BigQuery

Glue

Airbyte

Python

APIs

Airflow

Prefect

Temporal

AWS

GCP

Azure

Descripción del empleo

Bluelight Consulting seeks an experienced Agentic AI Solutions Architect to own the technical vision for LLMs and agentic workflows across client projects. You will balance client advisory duties with hands‑on design and delivery of end‑to‑end data architectures that deliver measurable ROI.

In this role you will design data and AI architectures, implement integrations, and guide teams through MLOps and automation pipelines while documenting best practices for reusable deployment.