Agentic AI Operations Engineer

Reposted Yesterday
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Medellín, Antioquia, COL
Hybrid
Mid level
Hardware • Software
The Role
Operate and maintain agentic and generative AI production systems: deploy AI agents and RAG pipelines, manage Azure infrastructure (Kubernetes, Postgres, Redis), implement observability and CI/CD (Terraform, Grafana), enforce security and data governance, and support incident response and compliance.
Summary Generated by Built In

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us!

Job Description

As an Agentic AI Operations Engineer, you will support and operate the Generative AI and Agentic AI solutions that power our enterprise AI platform. Working under the guidance of senior architects and engineers, you will help deploy AI pipelines and agentic applications in production, ensuring they run reliably, securely. This is a hands-on operational role focused on keeping our AI systems healthy and improving.

You will report to the Engineering Manager.

Main Responsibilities

Agentic AI Application & Pipeline Operations:

  • Deploy, configure, and maintain AI Agents that use Tools and Skills, including supporting MCP clients and servers within established frameworks.
  • Operate and support Retrieval-Augmented Generation (RAG) pipelines. These pipelines include data ingestion, document processing, and promoting generation (e.g., Azure OpenAI or Gemini embeddings). Additionally, help maintain integrations with vector and NoSQL databases.
  • Maintain the Azure Infrastructure that supports the AI Agents (Postgres, Redis, Grafana / Monitoring, Kubernetes Services, Application Gateway)
  • Configure / Maintain a Service Mesh to support the AI Architecture

Monitor & Performance Support:

  • Monitor model serving layers and data processing pipelines, identifying and escalating performance issues to maintain low latency and efficient resource use across the cloud environment.
  • Implement and tune observability (logging, metrics, alerting) and respond to incidents to keep AI services available and reliable.
  • Implement Grafana Dashboards for the existing infrastructure and usage

Security & Compliance Operations:

  • Apply and uphold established security and data governance policies in daily operations, including PII filtering and guarded conversation frameworks.
  • Support audits and compliance checks for AI products in production.

Infrastructure Automation & CI/CD:

  • Use Terraform to provision and manage Azure infrastructure-as-code within existing standards.
  • Maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines to help automated, reproducible deployments.

The Essentials — You Will Have

  • Bachelor's Degree.
  • English proficiency for collaboration with global teams

The Preferred — You Might Also Have

  • Typically requires 3+ years of relevant work experience.
  • Be able to work in diverse technical teams and adaptability to changes
  • Proficient at Kubernetes Clusters Management
  • Python experience
  • Hands-on experience deploying, operating, or supporting Generative AI solutions, RAG pipelines, or multi-agent frameworks (any cloud vendor).
  • 2+ years of experience with a major cloud platform — Microsoft Azure (preferred), AWS, or Google Cloud Platform (GCP).
  • Experience with MLOps and orchestration tooling such as Docker and Airflow.
  • Exposure to vector search platforms like Azure Cosmos DB for PostgreSQL, Redis, Azure AI Search, or pgvector/Mongo Atlas.
  • Experience with observability/monitoring tooling and incident response.
  • Familiarity with Scaled Agile Framework (SAFe) methodologies.

What We Offer

Our benefits package includes …

  • Comprehensive mindfulness programs with a premium membership to Calm.
  • Volunteer Paid Time off available after 6 months of employment for eligible employees.
  • Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.
  • Employee Assistance Program.
  • Personalized wellbeing programs through our OnTrack program
  • On-demand digital course library for professional development... and other local benefits!

Rockwell Automation's hybrid policy expects employees to work at a Rockwell location at least on Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

We believe that employee diversity is an important element of our common future. We provide opportunities for talent growth with the entire organization. We support equality by celebrating the individuality of every person, regardless of their origin and identity. We appreciate the unique cultural pattern and variety of experiences in each of us. We invite all who want to join and change the world of Our organization.

#LI-Hybrid

#LI-JP1

Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

Skills Required

  • Bachelor's Degree
  • English proficiency for global team collaboration
  • 3+ years of relevant work experience
  • Kubernetes cluster management experience
  • Python experience
  • Hands-on experience deploying or supporting Generative AI solutions, RAG pipelines, or multi-agent frameworks
  • 2+ years experience with a major cloud platform (Azure preferred; AWS or GCP acceptable)
  • Experience with MLOps and orchestration tooling such as Docker and Airflow
  • Exposure to vector search platforms (Azure Cosmos DB for PostgreSQL, Redis, Azure AI Search, pgvector, Mongo Atlas)
  • Experience with observability/monitoring tooling and incident response
  • Familiarity with Scaled Agile Framework (SAFe) methodologies
  • Ability to work in diverse technical teams and adapt to change

Rockwell Automation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Rockwell Automation and has not been reviewed or approved by Rockwell Automation.

  • Healthcare Strength — Healthcare coverage is described as comprehensive, spanning medical, dental, vision, mental‑health support, disability and life insurance, and wellness resources. Multiple plan choices and supportive programs contribute to the package feeling well‑rounded.
  • Retirement Support — Retirement benefits include a 401(k)/Retirement Savings Plan with employer matching that is positioned as a meaningful part of total compensation. These offerings reinforce longer‑term financial security as a core strength.
  • Parental & Family Support — Paid parental leave was expanded and a paid caregiver leave was added, indicating clear support for family needs. These policies are complemented by flexibility signals and dedicated paid volunteer time.

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The Company
HQ: Milwaukee, WI
22,000 Employees
Year Founded: 1903

What We Do

At Rockwell Automation, we connect the imaginations of people with the potential of technology to expand what is humanly possible, making the world more intelligent, more connected and more productive.

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