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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