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AI Engineer
Rockwell AutomationAI Engineer developing Generative AI and Large Language Model solutions for supply chain operations at Rockwell Automation. Responsible for end-to-end solution ownership and collaboration with cross-functional teams.
Tech Stack
Tools & technologiesAzureCloudPython
About the role
Key responsibilities & impact- Design, develop, and deploy GenAI and LLM‑based solutions, including RAG pipelines, prompt orchestration, agent workflows, and supporting Python services.
- Select appropriate models, tools, and frameworks based on quality, performance, cost, security, and enterprise requirements.
- Own AI solutions end‑to‑end, from design and development through production deployment and operational support.
- Define solution architectures aligned with Azure AI platform standards, enterprise guardrails, and ISC data governance guidelines.
- Establish and apply best practices for prompt design, testing, evaluation, versioning, reliability, scalability, and maintainability.
- Implement automated build, test, deployment, monitoring, and feedback processes in Microsoft‑centric enterprise environments.
- Coordinate user acceptance testing, collect structured feedback, and incorporate operational signals to continuously improve solution quality and adoption.
- Ensure compliance with Rockwell AI policies, risk controls, and data handling standards throughout development and deployment.
- Collaborate with ISC AI COE leadership, stakeholders, and cross‑functional teams to align on use cases, priorities, and technical approaches.
- Partner with business users to validate solution behavior, identify improvements, and enable effective use of GenAI‑powered tools and workflows.
Requirements
What you’ll need- Bachelor's Degree or Equivalent Years of Relevant Work Experience
- Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
- Typically requires a minimum of 5 years of related experience.
- 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.
- 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, SharePoint, 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.
Benefits
Comp & perks- Health Insurance including Medical, Dental and Vision
- 401k
- Paid Time off
- Parental and Caregiver Leave
- Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonGenAILLMRAG pipelinesautomation pipelinesvector databasesAI/MLcloud-native deploymentsolution architectureproduction deployment
Soft Skills
collaborationcommunicationproblem-solvinguser acceptance testingfeedback incorporationcontinuous improvementstakeholder engagementcross-functional teamworkorganizational skillsadaptability
Certifications
Bachelor's Degree in Computer ScienceBachelor's Degree in EngineeringBachelor's Degree in Data Science