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Rockwell Automation

Industrial automation hardware, software, services

Agentic AI Operations Engineer

Site Reliability Engineering +1Confirmed live in the last 24 hours
Full-timeMedellín, Medellin, Antioquia, ColombiaNo salary listed

About the Job

Requirements

  • A Bachelor's degree is required.
  • English proficiency is required for collaboration with global teams.
  • Typically, more than one year of relevant work experience is preferred.
  • Ability to work in diverse technical teams and adapt to changes is preferred.
  • Proficiency in Kubernetes cluster management is preferred.
  • Python experience is preferred.
  • Hands-on experience deploying, operating, or supporting Generative AI solutions, Retrieval-Augmented Generation pipelines, or multi-agent frameworks on any cloud vendor is preferred.
  • More than one year of experience with a major cloud platform—Microsoft Azure, Amazon Web Services, or Google Cloud Platform—is preferred.
  • One or more years of experience with MLOps and orchestration tools such as Docker and Airflow is preferred.
  • Exposure to vector search platforms such as Azure Cosmos DB for PostgreSQL, Redis, Azure AI Search, pgvector, or Mongo Atlas is preferred.
  • One or more years of experience with observability or monitoring tools and incident response is preferred.
  • Familiarity with Scaled Agile Framework methodologies is preferred.

Responsibilities

  • Deploy, configure, and maintain AI agents that use tools and skills, including support for Model Context Protocol clients and servers within established frameworks.
  • Operate and support Retrieval-Augmented Generation pipelines, including data ingestion, document processing, generation using Azure OpenAI or Gemini embeddings, and integrations with vector and NoSQL databases.
  • Maintain the Azure infrastructure supporting AI agents, including PostgreSQL, Redis, Grafana and monitoring, Kubernetes services, and Application Gateway.
  • Configure and maintain a service mesh supporting the AI architecture.
  • Monitor model-serving layers and data-processing pipelines, identify and escalate performance issues, and maintain low latency and efficient resource use across the cloud environment.
  • Implement and tune observability through logging, metrics, and alerting, and respond to incidents to keep AI services available and reliable.
  • Implement Grafana dashboards for the existing infrastructure and usage.
  • Apply established security and data-governance policies in daily operations, including personally identifiable information filtering and guarded-conversation frameworks.
  • Support audits and compliance checks for AI products in production.
  • Use Terraform to provision and manage Azure infrastructure as code within existing standards.
  • Maintain Continuous Integration/Continuous Deployment pipelines to support automated, reproducible deployments.

About the Company

Rockwell Automation

Industrial automation hardware, software, services

Rockwell Automation provides hardware, software, and services to improve operational efficiency, reliability, and sustainability in industrial settings. It integrates automation components—sensors, controllers, software, and cloud/on‑premises platforms—to monitor, control, and optimize processes. It differentiates itself with a broad global portfolio, a strong emphasis on OT cybersecurity, maintenance management, digital twin capabilities, and industry‑specific sustainability solutions. Its goal is to help customers increase productivity, reduce operating costs, and meet environmental and reliability standards through integrated technology and ongoing support.

Company size
10,001+
Company stage
IPO
Headquarters
Milwaukee, WI
Founded
1903

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