AI Engineer
Anveta Inc
Houston, TX, United States
21 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$114,400.0 - $124,800.0
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
User Authentication
Automation of Tests
Cloud Computing
Cloud Computing Security
Data Hub
Data Security
Microsoft Software
Microsoft Copilot
Scripting
+15 more
Enterprise Software Applications
Cloud Platform System
Microsoft Power Automate
Large Language Models
IT Architecture
Multi-Cloud
AWS Lambda
Agentic-AI
Microsoft Copilot Studio
AI Platforms
Information Technology
Virtual Agents
Cloud Integration
Serverless Computing
Powerapps
Job description
- Design and administer enterprise AI solutions using Microsoft Copilot, Copilot Studio, Microsoft Foundry, Power Platform, AWS Bedrock, and SageMaker.
- Build AI agents, assistants, and automated business workflows.
- Integrate AI services with enterprise applications, APIs, and cloud platforms.
- Implement AI security, authentication, data protection, and governance controls.
- Develop automation scripts and integrations using Azure Functions, AWS Lambda, and related technologies.
- Establish AI architecture standards, troubleshoot complex issues, and recommend platform improvements.
Requirements
We are seeking a highly skilled Senior AI Engineer to design, develop, and manage enterprise AI platforms, intelligent agents, and workflow automation solutions across Microsoft, AWS, and other cloud environments.
The ideal candidate will have strong hands-on experience with enterprise AI administration, AI agent development, cloud integrations, automation, and AI security and governance., * Bachelor’s degree in IT, Computer Science, or equivalent experience.
- 3+ years of relevant technical experience.
- Hands-on experience with enterprise AI platforms and AI solution development.
- Experience building AI agents, workflow automation, and cloud integrations.
- Knowledge of cloud security, authentication, and AI governance.
- Strong scripting, troubleshooting, and communication skills.
Preferred Skills
- Microsoft Copilot Studio, Power Automate, Power Apps, and Dataverse.
- AWS Bedrock, SageMaker, and Microsoft Foundry.
- Microsoft Graph API, Azure Functions, AWS Lambda, and foundation models.
- Enterprise AI governance, information protection, and multi-cloud architecture.
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