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Remote Power Platform Jobs in Wisconsin (NOW HIRING)

Autodesk

$101K - $138K/yr

... ML-powered product features. This role is ideal for an engineer who is deeply interested in ... This role is fully remote-friendly, with team members distributed across the US and Canada.

Relativity

Staff Software Engineer

Milwaukee, WI · On-site +1

$174K - $262K/yr

Posting Type Hybrid/Remote Job Overview Who We Are Relativity is a leading legal data intelligence ... Our AIpowered, cloud platform, RelativityOne, transforms massive volumes of complex information ...

Relativity

Adoption Services Lead

Milwaukee, WI · On-site +1

$164K/yr

Posting Type Remote/Hybrid Job Overview At Relativity, we believe the future of Legal Data Intelligence is powered by learning, amplified by AI, and driven by our customers' success. Our platform isn ...

Rural Mutual Insurance

Data Analyst

Madison, WI · On-site +1

$100K - $115K/yr

This position requires deep expertise in Power BI, data modeling, and stakeholder engagement, along ... This is a remote position. * Candidates must live and work in Wisconsin. * Requires eligibility to ...

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Remote Power Platform information

How does a Remote Power Platform professional typically collaborate with business stakeholders and development teams?

Remote Power Platform professionals often work closely with business stakeholders to gather requirements and translate them into effective low-code solutions using Microsoft Power Apps, Power Automate, and related tools. Collaboration usually involves virtual meetings, demos, and feedback sessions using platforms like Microsoft Teams and SharePoint. They also coordinate with development teams, IT, and end-users to ensure solutions are scalable, secure, and integrate well with existing systems. Effective communication and documentation skills are essential for aligning project goals and resolving issues promptly in a remote setting.

What are the key skills and qualifications needed to thrive as a Remote Power Platform professional, and why are they important?

To thrive as a Remote Power Platform professional, you need expertise in Microsoft Power Platform (Power BI, Power Apps, Power Automate), a background in data analysis or software development, and often a relevant certification such as Microsoft Certified: Power Platform Fundamentals. Familiarity with tools like Microsoft Dataverse, Azure services, and connectors, as well as experience with DAX, Power Query, and APIs, is typically required. Strong problem-solving skills, effective remote communication, and a proactive approach to learning help you stand out in this role. These abilities ensure you can design, implement, and maintain efficient business solutions while collaborating effectively in a virtual environment.

What is the difference between Remote Power Platform vs Remote Power BI Developer?

AspectRemote Power PlatformRemote Power BI Developer
CertificationsPower Platform certifications (e.g., PL-900, PL-100)Power BI certifications (e.g., DA-100)
Work EnvironmentDeveloping, customizing, and automating solutions using Power Apps, Power Automate, Power Virtual AgentsCreating and maintaining reports, dashboards, and data visualizations in Power BI
Industry UsageUsed across various industries for app development and automationPrimarily used in data analysis, reporting, and business intelligence

Remote Power Platform professionals focus on building custom apps, automations, and chatbots, while Remote Power BI Developers specialize in data visualization and reporting. Both roles require similar certifications and often work in overlapping environments, but their core responsibilities differ in scope and focus.

What are Remote Power Platform jobs?

Remote Power Platform jobs involve working with Microsoft's Power Platform suite of tools—Power BI, Power Apps, Power Automate, and Power Virtual Agents—from a location outside of a traditional office setting. Professionals in these roles design, develop, and manage business solutions that automate processes, visualize data, and build applications without needing to be on-site. These positions are suited for those with experience in low-code/no-code platforms and require strong problem-solving and communication skills to collaborate virtually with teams and clients. Remote Power Platform roles are popular in industries seeking digital transformation and operational efficiency.
What are the most commonly searched types of Power Platform jobs in Wisconsin? The most popular types of Power Platform jobs in Wisconsin are:
What are popular job titles related to Remote Power Platform jobs in Wisconsin? For Remote Power Platform jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Power Platform jobs in Wisconsin look for? The top searched job categories for Remote Power Platform jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Power Platform jobs? Cities in Wisconsin with the most Remote Power Platform job openings:
Remote Power Platform jobs near you
Infographic showing various Remote Power Platform job openings in Wisconsin as of June 2026, with employment types broken down into 4% Internship, 70% Full Time, 13% Part Time, 4% Temporary, and 9% Contract. Highlights an 24% In-person, and 76% Remote job distribution.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Menomonie, WI • Remote

Other

Posted 24 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply