AI Engineer/Architect-IFS Cloud

Rockwell Automation • Milwaukee, WI

1d • Hybrid

About The Position

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 a agentic AI Architect, you will serve as a technical leader within our AI Engineering organization. You will execute our enterprise AI vision by architecting, implementing, and deploying sophisticated Generative AI and Agentic AI solutions. You have a proven track record of leading high-impact projects, optimizing ML systems for performance, and/or building robust MLOps infrastructure in cloud-native environments. You will report to the Director of Agentic AI. You will work Hybrid in Milwaukee, WI.

Requirements

• Bachelor's Degree in Relevant Field
• 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.

Nice To Haves

• Typically requires a minimum of 8 of relevant professional experience, with a focus on AI/ML Engineering and Agentic AI product development.
• Master of Science in Engineering, Computer Science, Business Analytics, Data Science, or a similar quantitative discipline.
• Expert-level proficiency in Python and SQL.
• Hands-on experience developing and deploying Generative AI solutions, RAG pipelines, and multi-agent frameworks, regardless of the underlying cloud vendor.
• 5+ years of experience with major cloud platforms, specifically Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• 1+ years of experience working with and/or integrating with ERP solutions like IFS Cloud
• 1+ years of experience working with and managing stakeholders through end-to-end solution design through delivery
• Worked on core MLOps and orchestration tools, including Docker, Airflow, etc
• Worked with vector search platforms like Azure Cosmos DB for PostgreSQL, Redis, Azure AI Search, or pgvector/Mongo Atlas.
• Familiarity with classical ML modeling techniques such as Causal Inference, Matrix Factorization, XGBoost, etc
• Familiarity with Scaled Agile Framework (SAFe) methodologies.

Responsibilities

• Serve as the technical lead across several use cases currently with direct and full responsibility of defining technical specification, architecting end-to-end solutions, providing perspective on resource needs, advising on buy vs build considerations and ultimate use case solution execution.
• Agentic AI Application and Pipeline Engineering: Architect and implement AI Agents that use Tools and Skills including instantiation of MCP clients and servers. Additionally, architect and implement scalable end-to-end Retrieval-Augmented Generation (RAG) pipelines. These pipelines include data ingestion, document processing, and embedding generation, such as using Azure OpenAI embeddings or Gemini embeddings. Additionally, they involve integration with vector and NoSQL databases.
• Azure MLOps and Deployment: Lead the development of solutions that sit on a robust MLOps infrastructure for AI systems, leveraging Azure Machine Learning (AML) or Kubeflow for pipeline orchestration, alongside Docker for containerization. Deploy and manage scalable inference services on server less platforms like Azure Container Apps or Google Cloud Run.
• Multi-Agent Orchestration: Understand and have implemented AI Agents that can work with each other through LangGraph, A2A etc
• Performance Optimization: Optimize model serving layers and high-throughput data processing pipelines, employing advanced libraries (e.g., Polars) to ensure ultra-low latency and efficient resource utilization across the cloud environment.
• System Architecture & Security: Designing and implementing secure system architectures for all new AI products. These architectures ensure strict compliance with enterprise-wide data governance and security policies through mechanisms such as PII filtering and guarded conversation frameworks.
• Infrastructure Automation & CI/CD: Understand how to use Terraform for provisioning and manage Azure infrastructure-as-code. Understand centralized observability (logging and alerting) to support automated and reproducible Continuous Integration/Continuous Deployment (CI/CD) pipelines.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level