

Artificial Intelligence Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer on a long-term contract in Austin, TX, offering an onsite position. Key skills include Microsoft Copilot, AWS services, AI workflows, and data governance. Candidates must reside in the Austin area.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 15, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Austin, Texas Metropolitan Area
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π§ - Skills detailed
#AWS (Amazon Web Services) #DynamoDB #AI (Artificial Intelligence) #S3 (Amazon Simple Storage Service) #Cloud #SharePoint #ML (Machine Learning) #Compliance #Data Governance #SageMaker #Consulting #API (Application Programming Interface) #Security #Lambda (AWS Lambda) #Data Processing
Role description
Neos is a leading Austin-based IT Staffing and Consulting firm, and was recognized as one of the Best Places to Work in Austin.
No calls, no emails, please respond directly to the βapplyβ link with your resume and contact details.
Neos is seeking an Microsoft CoPilot Engineer for a long-term contract with our client in Austin, TX.
β’
β’
β’ ONSITE 5 DAYS A WEEK - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN AREA WILL BE CONSIDERED
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β’
β’ Key Responsibilities
Copilot Engineering & AI Integration
β’ Configure, customize, and deploy Microsoft Copilot across M365 (Word, Excel, Outlook, Teams, SharePoint) and Power Platform.
β’ Develop and implement Agentic AI workflows capable of reasoning, planning, and executing multi-step tasks autonomously with human oversight.
β’ Integrate Copilot solutions with AWS services (S3, Lambda, API Gateway, DynamoDB) for enhanced data processing and application interoperability.
β’ Create custom Copilot plugins, connectors, and APIs to extend capabilities and integrate with enterprise applications.
AI Solution Architecture & Governance
β’ Identify and evaluate AI use cases that leverage both Microsoft Copilot and AWS AI/ML services (e.g., Amazon Bedrock, SageMaker).
β’ Implement data governance, compliance, and security best practices across AI workflows and cloud integrations.
β’ Monitor and evaluate AI agent performance, accuracy, and business impact through continuous feedback loops.
Training & Adoption
β’ Provide technical enablement and training for business and development teams on AI workflows and Copilot usage.
β’ Document solution designs, workflows, and technical specifications for knowledge sharing.
β’ Advocate for responsible AI practices and ensure compliance with organizational and regulatory guidelines.
Neos is a leading Austin-based IT Staffing and Consulting firm, and was recognized as one of the Best Places to Work in Austin.
No calls, no emails, please respond directly to the βapplyβ link with your resume and contact details.
Neos is seeking an Microsoft CoPilot Engineer for a long-term contract with our client in Austin, TX.
β’
β’
β’ ONSITE 5 DAYS A WEEK - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN AREA WILL BE CONSIDERED
β’
β’
β’ Key Responsibilities
Copilot Engineering & AI Integration
β’ Configure, customize, and deploy Microsoft Copilot across M365 (Word, Excel, Outlook, Teams, SharePoint) and Power Platform.
β’ Develop and implement Agentic AI workflows capable of reasoning, planning, and executing multi-step tasks autonomously with human oversight.
β’ Integrate Copilot solutions with AWS services (S3, Lambda, API Gateway, DynamoDB) for enhanced data processing and application interoperability.
β’ Create custom Copilot plugins, connectors, and APIs to extend capabilities and integrate with enterprise applications.
AI Solution Architecture & Governance
β’ Identify and evaluate AI use cases that leverage both Microsoft Copilot and AWS AI/ML services (e.g., Amazon Bedrock, SageMaker).
β’ Implement data governance, compliance, and security best practices across AI workflows and cloud integrations.
β’ Monitor and evaluate AI agent performance, accuracy, and business impact through continuous feedback loops.
Training & Adoption
β’ Provide technical enablement and training for business and development teams on AI workflows and Copilot usage.
β’ Document solution designs, workflows, and technical specifications for knowledge sharing.
β’ Advocate for responsible AI practices and ensure compliance with organizational and regulatory guidelines.