AI Lead Engineer
- Posted 4 days ago
- Be among the first 10 applicants
Job Description
Rockwell Automation is looking for a Lead AI Engineer to drive AI-led innovation and automation across our Quality Engineering organization. This role will focus on integrating AI Agents, RAG, MCP Servers, and modern automation technologies into testing practices while mentoring Quality Engineers and enhancing enterprise testing platforms.
Key Requirements:
- 10+ years of experience in Test Automation, Quality Engineering, or Software Development
- Strong C#/.NET development background or relevant Java experience
- Proven experience applying AI solutions within QA and Testing
- Hands-on knowledge of Agentic AI, AI Agents, RAG, and MCP Servers
- Experience with CI/CD, automation frameworks, and build automation
- Strong understanding of OOP, algorithms, and data structures
- Experience with Selenium, Playwright, Jenkins, Docker, Terraform, and DevOps practices is preferred
Key Responsibilities:
- Lead AI innovation and process improvements across Quality Engineering
- Drive AI adoption in testing to improve efficiency and quality outcomes
- Mentor and upskill teams on AI-powered testing approaches
- Contribute hands-on through scripting, automation framework development, and code reviews
- Collaborate with cross-functional teams to deliver high-quality customer-facing solutions
More Info
Key Skills
AI Agents
Playwright
DevOps practices
MCP Servers
RAG
About Company
Skills:
data engineering , Apis, Sql, Backend Development, system integration, Python, embeddings, data pipelines, LLMs, workflow orchestration, event-driven architectures, vector databases, prompt engineering, RAG, AI evaluation, semantic search, observability
Skills:
tokenization , Java, Soap, Json, Api Testing, Jenkins, REST, Xml, Selenium, embeddings, Generative AI, vector databases, GitHub Actions, Agentic AI, Context Window Management, Object-Oriented Programming, Prompt Engineering, semantic search, Large Language Models
Skills:
Python, DevEx tools, AI ML frameworks, RAG architectures, CI CD pipelines, Git-based systems, Generative AI, LangGraph, multi-agent orchestration systems
Skills:
.NET, Azure Machine Learning, Sql, Tensorflow, Github, PowerShell, React, Angular, Pytorch, Node.js, Python, Kubernetes, Computer Vision, Javascript, Cognitive Services, GPT models, Azure CLI, Azure deployment services
Skills:
Keras, Opencl, Java, Tensorflow, Django, Rust, Pytorch, Cuda, FastAPI, Kubernetes, Python, Docker, Flask, Azure ML, Go, ONNX, AWS Sagemaker, DeepStream, Caffe, TensorRT