AI Engineer
Glendale, WI · On-site +1
This is a hybrid/remote role that is flexible on location so long as there is flexibility to travel ... Build and maintain data pipelines, model integration layers, and inference infrastructure for real ...
AI Engineer
Glendale, WI · On-site +1
This is a hybrid/remote role that is flexible on location so long as there is flexibility to travel ... Build and maintain data pipelines, model integration layers, and inference infrastructure for real ...
Remote Azure Data Factory information
See Racine, WI salary details
$10.37 - $16.23
3% of jobs
$16.23 - $22.09
0% of jobs
$22.09 - $27.95
0% of jobs
$27.95 - $33.81
0% of jobs
$33.81 - $39.67
2% of jobs
$39.67 - $45.53
5% of jobs
$49.41 is the 25th percentile. Wages below this are outliers.
$45.53 - $51.39
22% of jobs
The median wage is $54.73 / hr.
$51.39 - $57.25
31% of jobs
$60.75 is the 75th percentile. Wages above this are outliers.
$57.25 - $63.11
19% of jobs
$63.11 - $68.97
12% of jobs
$68.97 - $74.83
5% of jobs
$10
$54
$74
How much do remote azure data factory jobs pay per hour?
As of Aug 7, 2026, the average hourly pay for remote azure data factory in Racine, WI is $54.76, according to ZipRecruiter salary data. Most workers in this role earn between $49.57 and $61.54 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a remote Azure Data Factory engineer, and why are they important?
To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.
What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?
Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.
What is the difference between Remote Azure Data Factory vs Remote Data Engineer?
| Aspect | Remote Azure Data Factory | Remote Data Engineer |
|---|---|---|
| Credentials | Azure certifications, data integration skills | Data engineering certifications, cloud platform knowledge |
| Work Environment | Cloud-based, primarily using Azure platform | Cloud and on-premises environments, broader tech stack |
| Industry Usage | Data integration, ETL workflows in Azure | Data pipeline development, database management |
| Search & Comparison Intent | Focus on specific tool (Azure Data Factory) | Broader data engineering roles |
Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.
What is a remote Azure Data Factory professional?
A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.
What are popular job titles related to Remote Azure Data Factory jobs in Racine, WI? For Remote Azure Data Factory jobs in Racine, WI, the most frequently searched job titles are:
What job categories do people searching Remote Azure Data Factory jobs in Racine, WI look for? The top searched job categories for Remote Azure Data Factory jobs in Racine, WI are:
What cities near Racine, WI are hiring for Remote Azure Data Factory jobs? Cities near Racine, WI with the most Remote Azure Data Factory job openings:
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 15 days ago
Johnson Controls rating
8.0
Based on 407 frontline employees who took The Breakroom Quiz
133rd of 536 rated manufacturers
Job description
Build your best future with the Johnson Controls team!
**We require candidates to be U.S. Citizens and/or permanent residents of the United States. Sponsorship is not available for this role.
Who we are:
Johnson Controls is global leader in smart, healthy, and sustainable buildings. Our mission is to reimagine the performance of buildings to serve people, places, and the planet. Join a winning team that enables you to build your best future! Our teams are uniquely positioned to support a multitude of industries across the globe. You will have the opportunity to develop yourself through meaningful work projects and learning opportunities. We strive to provide our employees with an experience focused on supporting their physical, financial, and emotional wellbeing. Become a member of the Johnson Controls family and thrive in an empowering company culture where your voice and ideas will be heard - your next great opportunity is just a few clicks away!
What We Offer:
Competitive salary
Paid vacation/holidays/sick time
Comprehensive benefits package including 401K, medical, dental, and vision care.
On-the-job/cross-training opportunities
Encouraging and collaborative team environment
Dedication to safety through our Zero Harm policy
**This is a hybrid/remote role that is flexible on location so long as there is flexibility to travel to WI on a somewhat frequent basis.
About This Role
Johnson Controls is bringing AI into the way the world's most demanding buildings operate - from datacenters and hospitals to pharmaceutical facilities and commercial campuses. We are transforming our smart building products into AI-native platforms that can reason about building operations, assist operators intelligently, and accelerate how our engineering teams build and ship software.
This AI/ML Engineer role sits at the center of that transformation. You will do two things in roughly equal measure: build production AI/ML and GenAI capabilities directly into our smart building products, and raise the AI engineering capability of the broader Controls Software team so we can run more programs, faster, with AI embedded in how we work.
You will be embedded in a scrum team in Milwaukee, working hands-on with engineers, data scientists, and product managers. You will become a key technical voice on how AI is designed, built, and deployed across the Controls Software portfolio.
What You'll Do
Your work falls into two equally weighted pillars:
Pillar 1 - Build AI Products
Pillar 2 - Accelerate the Team
AI/ML & GenAI Engineering
Design, build, and deploy AI/ML models and GenAI capabilities into our smart building products across cloud, edge, and on-prem environments
Develop LLM-powered features including operator copilots, intelligent alarm management, and natural language interfaces for building operations
Build and maintain data pipelines, model integration layers, and inference infrastructure for real-time BAS use cases
Implement RAG architectures, agentic workflows, and prompt engineering patterns for production GenAI applications
Contribute to MLOps practices: model versioning, monitoring, evaluation, and continuous improvement pipelines
Team Capability & Velocity
Identify and implement AI-assisted developer tooling to accelerate product development - code generation, test automation, CI/CD intelligence, and review workflows
Mentor engineers on the team in AI/ML and GenAI engineering practices, elevating team capability over time
Define and document reusable AI engineering patterns, reference implementations, and best practices the team can build against
Partner with data scientists and architects to translate research and prototypes into production-ready systems
Contribute to roadmap and scoping conversations by bringing AI feasibility and complexity assessments grounded in hands-on experience
Required Qualifications
We are looking for a senior engineer who has shipped AI/ML and GenAI systems in production and can operate as a technical leader within a product scrum team.
AI/ML Engineering
7+ years of software engineering experience, with at least 5 years building and deploying AI/ML systems in production
Hands-on experience with the full ML lifecycle: data preparation, model training, evaluation, deployment, monitoring, and retraining
Strong foundation in machine learning fundamentals - supervised/unsupervised learning, time-series modeling, anomaly detection, and predictive analytics
Proficiency in Python and relevant ML frameworks (PyTorch, TensorFlow, scikit-learn, or equivalent)
Experience with MLOps tooling: experiment tracking, model registries, deployment pipelines, and observability
GenAI & LLM Development
Hands-on experience building production applications across multiple LLM providers (e.g., Anthropic, OpenAI, AWS Bedrock, Azure OpenAI, and open-source models)
Working knowledge of RAG architectures, vector databases, embedding pipelines, and retrieval strategies
Experience with agentic frameworks, multi-agent orchestration, and tool-calling patterns - including emerging standards like Model Context Protocol (MCP) (e.g., LangGraph, CrewAI, LlamaIndex, or custom implementations)
Strong evaluation discipline: ability to design, run, and reason about LLM evaluation pipelines - including eval datasets, LLM-as-judge techniques, and regression testing for prompts and model behavior
Experience with LLM observability and tracing - instrumenting model calls, tool calls, and retrievals in production (e.g., LangSmith, LangFuse, or OpenTelemetry GenAI conventions)
Engineering Craft
Strong software engineering fundamentals: clean code, system design, API development, and distributed systems
Experience with cloud platforms (Azure preferred) and containerized deployment (Docker, Kubernetes)
Comfortable working in an agile scrum team - shipping iteratively, participating in design reviews, and writing code others can maintain
Ability to communicate technical concepts clearly to non-technical stakeholders and influence product decisions with data
Preferred Qualifications
Experience in industrial, OT, IoT, or building automation environments
Familiarity with time-series data platforms and protocols such as BACnet, MQTT, or OPC UA
Experience with edge AI deployment and latency-constrained inference environments
Background in energy systems, HVAC, fault detection & diagnostics, or predictive maintenance use cases
Experience mentoring engineers or leading technical initiatives within a product team
Familiarity with cybersecurity considerations in OT/IoT environments
Experience implementing AI safety guardrails, content filtering, and governance controls for production GenAI systems
Experience with LLM cost optimization - model selection, caching, token efficiency, and routing strategies
What Success Looks Like
AI/ML and GenAI features you build are shipping in our smart building products and delivering measurable value to customers
Developer tooling and AI-assisted workflows you introduce meaningfully reduce cycle time for the Controls SW team
Engineers you mentor are independently applying AI/ML and GenAI patterns to new problems
You are a trusted technical voice on the team - shaping how AI is designed, prioritized, and built across the roadmap
The team's capacity to run AI-powered programs grows directly because of your presence
Why Johnson Controls
Work on AI problems that have direct physical impact - buildings that use less energy, run more reliably, and operate more safely
Join a team that is actively investing in AI as a core product capability, not a side project
Collaborate with a multidisciplinary team of engineers, data scientists, product managers, and domain experts in building automation
Competitive compensation, benefits, and career growth within a global engineering organization
SALARY RANGE: $85,000 - $127,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us
Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here.
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About Johnson Controls
Sourced by ZipRecruiter
Johnson Controls is a world leader in smart buildings, creating safe, healthy and sustainable spaces. For nearly 140 years, we’ve made buildings better and now we’re transforming them again with our award-winning digital technologies and services. We’re using artificial intelligence and data driven solutions to give you deeper insight into your building’s health, sustainability and performance. It’s changing the way we design, operate and maintain indoor environments and driving to a new era of autonomous buildings. We deliver the blueprint of the future for industries such as healthcare, schools, data centers, airports, stadiums, hotels, manufacturing and beyond through OpenBlue, our comprehensive suite of connected solutions. Johnson Controls offers the world’s largest portfolio of building technology, software and services. Supported by a team of more than 100,000 dedicated employees working across 150 countries, we’re helping customers achieve their sustainability goals and power their mission.
Industry
Machinery manufacturing, water transportation, public safety statistics centers and offices and manufacturing
Company size
10,000+ Employees
Headquarters location
Milwaukee, WI, US