

zAnswer LLC
AI Engineer - No C2C
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Enterprise AI Engineer on a long-term contract, located remotely in Redmond, WA. Key skills include expertise in Azure OpenAI, Python, TypeScript, and Microsoft Power Platform. A relevant degree and experience in AI/ML implementation are required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
October 21, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Corp-to-Corp (C2C)
-
🔒 - Security
Unknown
-
📍 - Location detailed
Redmond, OR
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🧠 - Skills detailed
#AI (Artificial Intelligence) #BI (Business Intelligence) #JavaScript #Data Warehouse #API (Application Programming Interface) #ML (Machine Learning) #Deep Learning #Automation #Compliance #Security #Forecasting #TypeScript #Computer Science #Python #Data Science #Scala #Azure #Process Automation #Anomaly Detection #Microsoft Power BI #Data Reconciliation
Role description
Enterprise AI/Generative AI Engineer (Azure OpenAI & Microsoft Copilot)
Focus Areas: Azure OpenAI, MS Copilot Studio, Python, Power Platform, AI/ML Implementation
Detail
Specification
Role
Enterprise AI Engineer
Location
Redmond, WA (Remote)
Job Type
Contract Engagement
Duration
Long-Term
Domain
High-Technology Sector
Position Summary
We are seeking an experienced Enterprise AI Engineer to drive the design and implementation of next-generation Generative AI solutions aimed at enhancing core business operations within a major high-technology client. This role is highly focused on developing and deploying robust AI models, building complex Copilot extensions, and integrating intelligent systems seamlessly with critical enterprise platforms.
The ideal candidate possesses deep technical expertise in AI/ML engineering, a strong command of Python and TypeScript, and proven, hands-on experience with the Microsoft Power Platform and Copilot Studio for creating agentic and operational AI workflows. This position requires a builder who can translate business needs into scalable, compliant, and impactful AI automation solutions.
Key Responsibilities
• Develop and Deploy production-ready Generative AI models for core operational workflows, including anomaly detection, financial forecasting, and data reconciliation.
• Design and Build custom Copilot extensions and integrations to drive user productivity and automation across enterprise systems.
• Collaborate with Data Science, IT, and business teams to proactively identify and prioritize opportunities for AI-driven optimization and process improvement.
• Integrate AI solutions with enterprise platforms such as ERP systems, reporting tools, and data warehouses, ensuring strict adherence to organizational security, compliance, and governance standards.
• Contribute to the establishment of best practices for prompt engineering and AI automation pipelines.
Required Qualifications
• Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related technical field.
• Proven, demonstrable experience in creating agentic AI workflows, preferably integrated with Microsoft Copilot Studio and the Microsoft Power Platform.
• Deep expertise in operational workflows, including complex forecasting and data reconciliation processes.
• Expert proficiency in primary development languages: Python and JavaScript/TypeScript.
• Strong understanding of API design, RESTful services, and middleware integration principles.
• Proficiency with AI/ML frameworks, including Azure AI and OpenAI.
• Excellent analytical, communication, and complex problem-solving skills.
Preferred Qualifications
• Experience with advanced Microsoft enterprise tools, such as Microsoft 365 Copilot, Dynamics 365 Finance, or Power BI.
• Familiarity with Robotic Process Automation (RPA) tools and large-scale enterprise data platforms.
• Fundamental understanding of core machine learning algorithms and deep learning architectures.
• Knowledge of prompt engineering methodologies and sophisticated AI automation pipelines.
Enterprise AI/Generative AI Engineer (Azure OpenAI & Microsoft Copilot)
Focus Areas: Azure OpenAI, MS Copilot Studio, Python, Power Platform, AI/ML Implementation
Detail
Specification
Role
Enterprise AI Engineer
Location
Redmond, WA (Remote)
Job Type
Contract Engagement
Duration
Long-Term
Domain
High-Technology Sector
Position Summary
We are seeking an experienced Enterprise AI Engineer to drive the design and implementation of next-generation Generative AI solutions aimed at enhancing core business operations within a major high-technology client. This role is highly focused on developing and deploying robust AI models, building complex Copilot extensions, and integrating intelligent systems seamlessly with critical enterprise platforms.
The ideal candidate possesses deep technical expertise in AI/ML engineering, a strong command of Python and TypeScript, and proven, hands-on experience with the Microsoft Power Platform and Copilot Studio for creating agentic and operational AI workflows. This position requires a builder who can translate business needs into scalable, compliant, and impactful AI automation solutions.
Key Responsibilities
• Develop and Deploy production-ready Generative AI models for core operational workflows, including anomaly detection, financial forecasting, and data reconciliation.
• Design and Build custom Copilot extensions and integrations to drive user productivity and automation across enterprise systems.
• Collaborate with Data Science, IT, and business teams to proactively identify and prioritize opportunities for AI-driven optimization and process improvement.
• Integrate AI solutions with enterprise platforms such as ERP systems, reporting tools, and data warehouses, ensuring strict adherence to organizational security, compliance, and governance standards.
• Contribute to the establishment of best practices for prompt engineering and AI automation pipelines.
Required Qualifications
• Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related technical field.
• Proven, demonstrable experience in creating agentic AI workflows, preferably integrated with Microsoft Copilot Studio and the Microsoft Power Platform.
• Deep expertise in operational workflows, including complex forecasting and data reconciliation processes.
• Expert proficiency in primary development languages: Python and JavaScript/TypeScript.
• Strong understanding of API design, RESTful services, and middleware integration principles.
• Proficiency with AI/ML frameworks, including Azure AI and OpenAI.
• Excellent analytical, communication, and complex problem-solving skills.
Preferred Qualifications
• Experience with advanced Microsoft enterprise tools, such as Microsoft 365 Copilot, Dynamics 365 Finance, or Power BI.
• Familiarity with Robotic Process Automation (RPA) tools and large-scale enterprise data platforms.
• Fundamental understanding of core machine learning algorithms and deep learning architectures.
• Knowledge of prompt engineering methodologies and sophisticated AI automation pipelines.