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Remote Power Platform Developer Jobs in Detroit, MI

This is a remote position. Responsibilities * Design, develop, test, and deploy full-stack features ... NET, or substantial experience with a comparable server-side development platform. * Experience ...

This is a remote position. Responsibilities * Design, develop, test, and deploy full-stack features ... NET, or substantial experience with a comparable server-side development platform. * Experience ...

This is a remote position. Responsibilities * Design, develop, test, and deploy full-stack features ... NET, or substantial experience with a comparable server-side development platform. * Experience ...

Sr. Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... platform, ensuring the ETL/ELT pipelines, dimensional models, and Snowflake environments that power ...

Sr. Data Engineer

Detroit, MI · Remote

$108K - $147K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... platform, ensuring the ETL/ELT pipelines, dimensional models, and Snowflake environments that power ...

Showing results 41-60

Remote Power Platform Developer information

What are the key skills and qualifications needed to thrive as a remote Power Platform developer?

To thrive as a Remote Power Platform Developer, you need strong expertise in Microsoft Power Platform (Power Apps, Power Automate, Power BI), experience with related programming languages like JavaScript, and a background in computer science or a related field. Familiarity with Microsoft Azure, Dataverse, and relevant certifications such as Microsoft Certified: Power Platform Developer Associate are highly valued. Excellent problem-solving abilities, communication skills, and the ability to work independently are essential soft skills for success in a remote environment. These skills ensure the effective design, automation, and integration of business solutions while enabling seamless collaboration across distributed teams.

What is a Remote Power Platform Developer?

A Remote Power Platform Developer is a professional who designs, builds, and maintains applications, workflows, and solutions using Microsoft Power Platform tools such as Power Apps, Power Automate, Power BI, and Power Virtual Agents, all while working from a remote location. Their role involves automating business processes, creating data-driven applications, and integrating various Microsoft and third-party services to improve organizational productivity. They often collaborate with stakeholders and IT teams virtually to gather requirements and deliver user-friendly solutions tailored to business needs.

What are some common challenges remote Power Platform developers face when collaborating with distributed teams?

Remote Power Platform Developers often work closely with stakeholders, business analysts, and other developers who may be located in different time zones. This can make real-time collaboration and requirements gathering more challenging. To mitigate these challenges, clear documentation, regular virtual meetings, and the use of collaborative tools like Microsoft Teams and Azure DevOps are essential. Additionally, proactively communicating progress and blockers helps ensure smooth project delivery and fosters strong remote team dynamics.

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

AspectRemote Power Platform DeveloperRemote Power BI Developer
Required CertificationsMicrosoft Power Platform certifications, such as PL-900, PL-100Microsoft Power BI certifications, such as DA-100
Work EnvironmentRemote or hybrid, working on app and automation developmentRemote or hybrid, focusing on data visualization and reporting
Employer & Industry UsageUsed across industries for app development, automation, and process improvementPrimarily used in data analysis, reporting, and business intelligence

The Remote Power Platform Developer and Remote Power BI Developer roles share overlapping skills in Microsoft tools and certifications. However, the Power Platform Developer focuses on building apps, automations, and workflows using Power Apps, Power Automate, and Power Virtual Agents, while the Power BI Developer specializes in creating data visualizations and reports. Both roles are in demand for remote work across various industries, but their core responsibilities differ based on their focus on app development versus data analysis.

What are popular job titles related to Remote Power Platform Developer jobs in Detroit, MI? For Remote Power Platform Developer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Remote Power Platform Developer jobs in Detroit, MI look for? The top searched job categories for Remote Power Platform Developer jobs in Detroit, MI are:
Infographic showing various Remote Power Platform Developer job openings in Detroit, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Detroit, MI • Remote

Full-time

Re-posted 17 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.