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Rockwell Automation
Rockwell Automation

Leading company in the software industry

AI Engineer at Rockwell Automation

RoleMachine Learning
LevelMid Level
LocationSingapore
WorkOn-site
TypeFull-time
Posted1 day ago
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About the role

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:

Rockwell Automation is looking for an AI Engineer within the Integrated Supply Chain (ISC) AI Centre of Excellence in Singapore. The AI Engineer will develop Generative AI (GenAI) and Large Language Model (LLM) solutions. These solutions will deliver measurable value across supply chain operations.

You will manage solutions end‑to‑end for defined use cases and apply technical judgement to ensure solutions are reliable, scalable, and adopted in production.

You will report to Senior Director in Digital Transformation based in US.

Your Responsibilities:

  • GenAI Solution Ownership

  • You will Design GenAI applications, including RAG pipelines, prompt orchestration, and agent‑based workflows, with supporting Python automation.

  • Select appropriate models, tools, and frameworks based on quality, latency, cost, and security requirements.

  • You will own solutions from design through production deployment for assigned use cases spanning document intelligence, knowledge assistants, and process automation.

  • Architecture & Quality

  • Define solution architectures aligned with Rockwell's Azure AI platform standards, enterprise guardrails, and ISC data governance requirements.

  • Establish best practices for prompt design, evaluation, testing, and versioning across a shared service delivery model.

  • Ensure solutions meet reliability, scalability, and maintainability expectations across custom Python services, Azure‑hosted components, and low‑code integrations.

  • Operations and Adoption

  • Implement automated build, test, deployment, monitoring, and feedback practices for solutions running in Microsoft‑centric enterprise environments.

  • Coordinate user acceptance testing, gather structured feedback, and incorporate operational signals to improve solution quality and improve adoption.

  • Ensure compliance with Rockwell AI policies, risk controls, and data handling standards throughout development and deployment.

  • Collaboration & Enablement

  • You will work with the ISC AI COE lead and senior partners to receive use case context, validate technical approaches, and agree on priorities.

  • Coordinate testing cycles and feedback loops with our users to validate solution behaviour and surface improvement opportunities.

  • You will promote low‑code/no‑code practitioners and business SMEs to use GenAI‑powered tools and automated workflows.

The Essentials

You Will Have:

  • Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
  • 5+ years of experience in software engineering, AI/ML, or applied data systems.
  • Python proficiency with experience building production‑grade services and automation pipelines.
  • Hands‑on experience designing and deploying GenAI / LLM‑based applications.

The Preferred

You Might Also Have:

  • Experience with RAG pipelines, vector databases, and GenAI evaluation techniques.
  • Familiarity with Azure AI services and cloud‑native deployment patterns.
  • Experience integrating solutions with Microsoft 365, Share Point, and Graph API in enterprise environments.
  • Identified automation opportunities and delivered scripted and workflow‑based solutions using AI tools.
  • Collaborated effectively within structured delivery models and cross‑functional technical teams.

What We Offer:

Our benefits package includes …

  • Comprehensive mindfulness programmes with a premium membership to Calm
  • Volunteer Paid Time off available after 6 months of employment for eligible employees
  • Employee Assistance Program
  • Personalised wellbeing programmes through our On Track programme
  • On-demand digital course library for professional development

... and other local benefits!

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.

Required skills

Python

Generative AI

LLMs

RAG

Agent workflows

Prompt orchestration

Production deployment

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About Rockwell Automation

Rockwell Automation

Rockwell Automation, Inc. is an American provider of industrial automation and digital transformation technologies headquartered in Milwaukee, Wisconsin. Its brands include Allen-Bradley, FactoryTalk software and LifecycleIQ Services.

10,001+

Employees

Milwaukee

Headquarters

$15.8B

Valuation

Reviews

10 reviews

3.5

10 reviews

Work-life balance

4.2

Compensation

3.8

Culture

3.6

Career

3.9

Management

2.8

72%

Recommend to a friend

Pros

Good benefits and compensation

Strong team relationships and good people

Low stress work environment

Cons

Management issues and inconsistent leadership

Poor communication and alignment between groups

Shift from product focus to revenue focus

Salary Ranges

31 data points

Junior/L3

Mid/L4

Junior/L3 · Data Scientist

0 reports

$36,933

total per year

Base

$36,933

Stock

-

Bonus

-

$31,393

$42,473

Interview experience

3 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer rate

33%

Experience

Positive 33%

Neutral 67%

Negative 0%

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Hiring Manager Interview

5

Offer

Common questions

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm