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Python Llm Jobs in Menomonee Falls, WI (NOW HIRING)

Silgan

Senior AI Application Developer

Brookfield, WI · On-site

$90K - $125K/yr

Develop across a multi-language platform spanning Python, C#/.NET, and TypeScript and contribute ... Hands-on experience building and deploying LLM-powered applications and designing systems around ...

Husch Blackwell LLP

Senior Software Engineer

Milwaukee, WI · On-site +1

$120K - $158K/yr

Proficiency in one or more back-end languages (e.g., Python, Javascript, TypeScript) and ... LLM APIs and prompt-driven workflows * Knowledge of data pipeline architecture, data APIs, and ...

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How much do python llm jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for python llm in Menomonee Falls, WI is $58.82, according to ZipRecruiter salary data. Most workers in this role earn between $48.46 and $66.83 per hour, depending on experience, location, and employer.

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What job categories do people searching Python Llm jobs in Menomonee Falls, WI look for?

The top searched job categories for Python Llm jobs in Menomonee Falls, WI are:

What cities near Menomonee Falls, WI are hiring for Python Llm jobs?

Cities near Menomonee Falls, WI with the most Python Llm job openings:

Python Llm jobs near you
Infographic showing various Python Llm job openings in Menomonee Falls, WI as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $122,338 per year, or $58.8 per hour.

Manager, AI Engineering

Milwaukee, WI • On-site

Rockwell Automation, Inc.
Industrial Automation Equipment Manufacturing • 10K+ employees
Learn more about Rockwell Automation, Inc.external

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Rockwell Automation rating

7.9

Company rating: 7.9 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

205th of 499 rated machine equipment manufacturers

Job description

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 seeking a Manager, AI Engineering within the Integrated Supply Chain (ISC) AI Center of Excellence. This role will lead a team of AI Engineers responsible for architecting, building, deploying, and sustaining production-grade AI solutions across global supply chain operations.
The Manager, AI Engineering will own the technical engineering capability for ISC AI. This includes solution architecture, engineering standards, GenAI application development, reusable technical patterns, integration design, production reliability, and sustainment. This leader will work closely with AI Delivery, IT, Analytics, Cybersecurity, Data Governance, and business stakeholders to convert prioritized use cases into secure, scalable, maintainable AI solutions.
This position reports to the Senior Director, Digital Transformation and will work a hybrid schedule at our office in Milwaukee, WI.
Your Responsibilities:
  • AI Engineering Strategy & Architecture
    • Lead the ISC AI engineering function, including technical architecture, engineering standards, development practices, reusable patterns, and production support expectations.
    • Define solution approaches for GenAI applications, LLMs, RAG pipelines, prompt orchestration, agent-based workflows, document intelligence, knowledge assistants, and process automation.
    • Ensure AI solutions align with enterprise architecture, Azure AI platform standards, cybersecurity requirements, responsible AI expectations, and ISC data governance requirements.
  • Team Leadership & Engineering Capability
    • Lead, coach, and develop a team of AI Engineers responsible for building and supporting production-grade AI solutions across global supply chain use cases.
    • Establish engineering practices for code quality, documentation, version control, testing, prompt management, evaluation, deployment, monitoring, and support.
    • Build team capability in Python, APIs, Azure AI, LLM application development, RAG, vector databases, data integration, workflow automation, and enterprise software delivery.
  • Solution Development & Integration
    • Oversee the design and development of AI applications, including RAG-based assistants, agentic workflows, document processing, workflow automation, and AI-enabled business applications.
    • Guide model, framework, and tool selection based on accuracy, latency, cost, scalability, security, compliance, and maintainability.
    • Ensure AI solutions integrate with governed data sources, enterprise applications, Microsoft 365, SharePoint, Graph API, Power Platform, workflow tools, and internal supply chain systems where appropriate.
  • Production Reliability, MLOps & LLMOps
    • Establish CI/CD, automated testing, release management, telemetry, monitoring, incident response, and rollback practices for AI solutions deployed in production.
    • Define evaluation methods for LLM outputs, retrieval quality, prompt performance, model behavior, data quality, user feedback, and operational reliability.
    • Monitor production AI solutions for performance, cost, usage, failure modes, access issues, security risks, and continuous improvement opportunities.
  • Cross-Functional Technical Delivery
    • Partner with AI Delivery to assess technical feasibility, estimate engineering effort, sequence development work, and shape solution scope for prioritized use cases.
    • Coordinate with IT, Cybersecurity, Data Governance, Analytics, and platform teams to resolve architecture, data access, integration, infrastructure, and compliance dependencies.
    • Provide technical guidance on what should be custom-built, reused, automated, or handled through existing enterprise platforms.

The Essentials - You Will Have:
  • 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.

The Preferred - You Might Also Have:
  • Typically requires a minimum of 5 years management experience.
  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or equivalent practical experience.
  • 10+ years of experience in software engineering, AI engineering, ML engineering, data engineering, cloud engineering, or related technical roles.
  • 5+ years of experience leading technical teams, engineering programs, or complex technology delivery in a matrixed enterprise environment.
  • Strong technical background in Python, APIs, cloud-native development, data integration, automation, and production software engineering.
  • Experience designing, deploying, and supporting AI, ML, GenAI, LLM, automation, or advanced analytics solutions in production environments.
  • Experience with DevOps, CI/CD, automated testing, monitoring, observability, versioning, release management, and operational support.
  • Ability to explain technical tradeoffs, risks, architecture decisions, and implementation options to technical and business stakeholders.
  • Experience building GenAI applications using RAG, vector databases, embeddings, prompt orchestration, agentic workflows, model evaluation, and retrieval quality testing.
  • Experience with Microsoft Azure AI services, Azure OpenAI, Azure DevOps, GitHub Actions, containerization, serverless architectures, APIs, and enterprise cloud deployment patterns.
  • Experience integrating AI solutions with Microsoft 365, SharePoint, Graph API, Power Platform, enterprise data platforms, workflow automation tools, and business applications.
  • Experience establishing reusable AI engineering frameworks, reference architectures, prompt/model evaluation methods, and production support models.
  • Experience in manufacturing, supply chain, procurement, planning, logistics, quality, operations, or industrial environments.
  • Familiarity with responsible AI, cybersecurity, identity and access management, data privacy, auditability, model risk, and enterprise AI governance.
  • Advanced degree or certifications in cloud, AI/ML, software engineering, cybersecurity, data engineering, architecture, or related fields.

What We Offer:
  • 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.
  • To learn more about our benefits package, please visit at www.raquickfind.com.

At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.
This position is part of a job family. Experience will be the determining factor for position level and compensation.
#LI-Hybrid
#LI-JF1
We are an Equal Opportunity Employer including disability and veterans.
If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (844) 404-7247.
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.

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About Rockwell Automation

Sourced by ZipRecruiter

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 25,000 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.

Industry

Industrial automation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Milwaukee, WI, US

Year founded

1903

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