Artificial Intelligence Engineer

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 15, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Austin, Texas Metropolitan Area
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🧠 - 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 β€œapply” 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.