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AI Infrastructure Engineer
Sin especificarSin especificarAI Engineering
An organization is seeking a specialist to build and operate enterprise AI agents and the cloud infrastructure that supports them. The role spans Azure and Google Cloud, system integrations, security, automation, and delivery of AI initiatives from MVP to production.
Responsabilidades
- Build, maintain, test, and deploy enterprise AI agents, including defining requirements, prompts, instructions, and data connections.
- Establish and maintain enterprise agent management infrastructure, development/test/production environments, deployment processes, version control, and controlled promotion between environments.
- Design and build cloud infrastructure for AI solutions on Microsoft Azure and Google Cloud.
- Integrate AI agents with core enterprise systems using APIs, connectors, webhooks, and MCP.
- Implement information security, privacy, and regulatory controls, including agent permissions, data classification, DLP, and audit controls.
- Automate processes and build scripts and services using Python and PowerShell, as well as workflows with Power Automate.
- Evaluate emerging AI technologies, conduct proofs of concept, make recommendations, and develop organization-wide standards and architectures.
- Provide technical guidance for enterprise initiatives from MVP through production, including documentation, training, and user adoption.
Requisitos
- At least five years of experience in a technical role involving development, cloud infrastructure, or integration in a large enterprise environment.
- At least one year of hands-on generative AI experience, including language models, prompt engineering, and building agents or chatbots.
- Practical familiarity with Microsoft AI technologies, including Microsoft 365 Copilot, Copilot Studio, and Azure AI, and with agent architecture and licensing.
- Demonstrated experience with Azure and/or Google Cloud, including resource, identity and access, network, security, and cost management.
- Understanding of enterprise data sources, databases, SQL, and data ingestion processes.
- Strong English for reading technical documentation and working with international vendors.
Se valora
- Experience implementing RAG and search solutions, including Azure AI Search, Vertex AI Search, or vector databases.
- Experience with Power Platform, including Power Automate, Power Apps, and Dataverse.
- Familiarity with Microsoft Entra ID, Microsoft Purview, Conditional Access, and DLP.
- Experience with DevOps practices, Git, CI/CD, and environment management.
- Experience in healthcare or another highly regulated environment with strict privacy requirements.